What Does a Cloud Engineer Do?

As companies worldwide have shifted away from using onsite data centers and server rooms, cloud computing platforms have been in high demand. According to the technology news site TechRepublic, about two-thirds of large companies are moving business applications and data storage to cloud services. For more than half of those companies, the transition to cloud services is the top strategic priority for their IT departments. 

Companies need highly skilled engineers to manage their use of the cloud, including application development, resource allocation and maintenance, and effective use of the features offered by the industry’s primary cloud services—Amazon Web Services (AWS), Google Cloud, and Microsoft Azure. 

Top Responsibilities of a Cloud Engineer

Cloud engineer is less a specific job title and more of an umbrella term used to describe a number of cloud computing roles that focus on engineering, architecture, development, and administration. Here are some of the typical responsibilities of professionals in the most in-demand cloud computing roles. 

Cloud Engineering

Those in cloud engineering roles assess an organization’s technology infrastructure and explore options for moving to the cloud. If the organization elects to move to the cloud, a cloud engineer is responsible for overseeing the process, referred to as migration, and maintaining the new system. 

Along with these technical skills, cloud engineering requires managerial skills. Engineers are often called upon to negotiate with vendors, coordinate with other IT team members, and communicate with senior leadership about the progress of a cloud migration project. 

Cloud Architecture

These roles focus primarily on assembling the cloud infrastructure. Within a cloud environment, there are numerous computing, networking, and security services that all need to be configured properly. Configuration serves two key roles: To ensure that the right users have access to the right services (depending on their role within the organization) and that the company doesn’t incur unexpected or unnecessary charges. 

Contracts to use cloud services can be as concrete as charging to rent hardware to store data, or as abstract as charging to execute a function within a line of code. This variability means architects need to pay close attention to the fine print of cloud contracts and compare that to how their organization intends to use a cloud-based service. 

Cloud Development

These roles are responsible for creating the functions, applications, or databases that run on the cloud. Many of the best practices—fast load times, support for multiple Internet browsers, using as little memory as necessary—are analogous to more traditional software and database development. 

“But now, [these individuals] also need to understand the cloud environment, the tools, and how that’s different than working on a single machine or a private data center,” For example, these developers must understand how an application will respond when accessing databases in different locations or how to run functions or queries efficiently when renting hardware.

Cloud Administration

These roles are similar to the traditional system administrator function that manages an organization’s on-premise hardware and software, but with an emphasis on cloud-based services. Primary responsibilities include developing and implementing policies for the use of cloud services, managing requests for new technology, establishing a secure cloud environment, and ensuring appropriate availability of services, also known as uptime. 

Security and availability require careful attentions. The cloud platforms use a “shared model” where they guarantee for some but not all security measures. For example, an individual organization is responsible for building a firewall around the network that’s used to access cloud services with sensitive data and business applications. 

The Value of Education in Cloud Engineering

Cloud engineers must refine specific cloud computing skills in order to be successful in their roles. These skills range from software development and database administration to change management and data security. Paying attention to details and working as part of a team is also important.

These skills are similar to what a student in a typical computer science course may learn, or what a professional in a traditional on-premise computing environment may need. Many other computer science principles are also applicable to cloud computing, including computation, data structure, and system architecture. 

While there is often overlap between computer science and cloud computing coursework, there is value in education and training that is specifically tailored to a career in cloud engineering. Cloud engineers can especially benefit from specialized training in two key areas: gaining hands-on experience with cloud platforms and understanding how cloud resources are allocated and paid for. 

Understanding Cloud Resource Management

It’s also critical for a cloud engineer to understand how resources are used differently than in traditional computing environments. 

When an organization uses on-premise servers to run applications and store data, the costs are largely fixed. Before anything can happen, hardware must be purchased, network connections must be set up, and users’ accounts must be created. If more resources are needed, the organization’s leaders need to come together to decide what to buy.

Cloud platforms offer much more flexibility. An organization can start with the resources it needs at that particular time and add services as those needs evolve. This flexibility is possible because another entity—in this case, a multinational tech giant like Amazon, Google, or Microsoft—has invested in the resources and opted to allocate them to thousands of customers on a pay-per-use basis. 

This flexibility also brings complexity because of the way cloud platforms charge for their resources. For example, for some services, an organization needs to consider whether it makes sense to pay an hourly rate (for on-demand usage) or an annual rate (for more continuous usage). Users should also be prepared to pay higher rates if they need more data storage or intend to run applications with complex calculations. Finally, each platform also offers a variety of discount options that require consideration.


Top 10 Most Popular Programming Languages

Whether you’re new to programming or looking to brush up on your skills, it helps to know which languages are in high demand. Here are 10 of the most popular programming languages based on the number of job postings listed on job search sites, and factors such as ease of use and potential for growth.

Top 10 Most Popular Programming Languages

1. Python

Top 10 Popular Programming Languages Chart

Benefits: Python is widely regarded as a programming language that’s easy to learn, due to its simple syntax, a large library of standards and toolkits, and integration with other popular programming languages such as C and C++. In fact, it’s the first language that students learn in the Align program, Gorton says. “You can cover a lot of computer science concepts quickly, and it’s relatively easy to build on.” It is a popular programming language, especially among startups, and therefore Python skills are in high demand.

Drawbacks: Python is not suitable for mobile application development.

Common uses: Python is used in a wide variety of applications, including artificial intelligence, financial services, and data science. Social media sites such as Instagram and Pinterest are also built on Python.

2. JavaScript

Benefits: JavaScript is the most popular programming language for building interactive websites; “virtually everyone is using it,” Gorton says. When combined with Node.js, programmers can use JavaScript to produce web content on the server before a page is sent to the browser, which can be used to build games and communication applications that run directly in the browser. A wide variety of add-ons extend the functionality of JavaScript as well. 

Drawbacks: Internet browsers can disable JavaScript code from running, as JavaScript is used to code pop-up ads that in some cases can contain malicious content. 

Common uses: JavaScript is used extensively in website and mobile application development. Node.js allows for the development of browser-based applications, which do not require users to download an application.

3. Java

Benefits: Java is the programming language most commonly associated with the development of client-server applications, which are used by large businesses around the world. Java is designed to be a loosely coupled programming language, meaning that an application written in Java can run on any platform that supports Java. As a result, Java is described as the “write once, run anywhere” programming language.

Drawbacks: Java is not ideal for applications that run on the cloud, as opposed to the server (which is common for business applications). In addition, the software company Oracle, which owns Java, charges a licensing fee to use the Java Development Kit.

Common uses: Along with business applications, Java is used extensively in the Android mobile operating system.

4. C#

Benefits: Microsoft developed C# as a faster and more secure variant of C. It is fully integrated with Microsoft’s .NET software framework, which supports the development of applications for Windows, browser plug-ins, and mobile devices. C# offers shared codebases, a large code library, and a variety of data types.

Drawbacks: C# can have a steep learning curve, especially for resolving errors. It is less flexible than languages such as C++. 

Common uses: C# is the go-to language for Microsoft ad Windows application development. It can also be used for mobile devices and video game consoles using an extension of the .NET Framework called Mono.

5. C

Benefits: Along with Python and Java, C forms a “good foundation” for learning how to program, Gorton says. As one of the first programming languages ever developed, C has served as the foundation for writing more modern languages such as Python, Ruby, and PHP. It is also an easy language to debug, test, and maintain.

Drawbacks: Since it’s an older programming language, C is not suitable for more modern use cases such as websites or mobile applications. C also has a complex syntax as compared to more modern languages.

Common uses: Because it can run on any type of device, C is often used to program hardware, such as embedded devices in automobiles and medical devices used in healthcare. 

6. C++

Benefits: C++ is an extension of C that works well for programming the systems that run applications, as opposed to the applications themselves. C++ also works well for multi-device and multi-platform systems. Over time, programmers have written a large set of libraries and compilers for C++. Being able to use these utilities effectively is just as important to understanding a programming language as writing code, Gorton says.

Drawbacks: Like C, C++ has complex syntax and an abundance of features that can make it complicated for new programmers. C++ also does not support run-time checking, which is a method of detecting errors or defects while software is running. 

Common uses: C++ has many uses and is the language behind everything from computer games to mathematical simulations.

7. Go

Benefits: Also referred to as Golang, Go was developed by Google to be an efficient, readable, and secure language for system-level programming. It works well for distributed systems, in which systems are located on different networks and need to communicate by sending messages to each other. While it is a relatively new language, Go has a large standards library and extensive documentation.

Drawbacks: Go has not gained widespread use outside of Silicon Valley. Go does not include a library for graphical user interfaces, which are the most common ways that end-users interact with any device that has a screen.

Common uses: Go is used primarily for applications that need to process a lot of data. In addition to Google, companies using Go for certain applications include Netflix, Twitch, and Uber.

8. R

Benefits: R is heavily used in statistical analytics and machine learning applications. The language is extensible and runs on many operating systems. Many large companies have adopted R in order to analyze their massive data sets, so programmers who know R are in great demand. 

Drawbacks: R does not have the strict programming guidelines of older and more established languages. 

Common uses: R is primarily used in statistical software products. 

9. Swift

Benefits: Swift is Apple’s language for developing applications for Mac computers and Apple’s mobile devices, including the iPhone, iPad, and Apple Watch. Like many modern programming languages, Swift has a highly readable syntax, runs code quickly, and can be used for both client-side and server-side development. 

Drawbacks: Swift can only be used on newer versions of iOS 7 and will not work with older applications. As a newer programming language, the code can be unstable at times, and there are fewer third-party resources available to programmers.

Common uses: Swift is used for iOS and macOS applications. 

10. PHP

Benefits: PHP is widely used for server-side web development, when a website frequently requests information from a server. As an older language, PHP benefits from a large ecosystem of users who have produced frameworks, libraries, and automation tools to make the programming language easier to use. PHP code is also easy to debug.

Drawbacks: As Python and JavaScript have gained popularity, PHP’s popularity has dropped. PHP is also known for its security vulnerabilities. According to Indeed, most PHP programmers take short-term roles that last less than one year.

Common uses: PHP is the code running content-oriented websites such as Facebook, WordPress, and Wikipedia. 

7 Other Programming Languages to Consider

The following programming languages aren’t quite as popular as the 10 listed above, but they are also worth considering if you’re looking to expand your programming options.

  • Dart is optimal for programming applications that need to run on multiple platforms, such as Windows and iOS. 
  • Kotlin is used to develop applications for the Android OS. 
  • MATLAB is a proprietary language developed by MathWorks and used for scientific research and numerical computing. 
  • Perl got its start for programming text, which makes it easy to learn and popular for developing a proof of concept. 
  • Ruby is losing traction as compared to other languages, but the Ruby on Rails framework was influential to other, later Web application frameworks for Python, PHP, and JavaScript.
  • Rust emphasizes high performance and security and is useful for applications where many things are happening concurrently.
  • Scala, named as a play on scalable language, is compatible with Java and is useful for cloud-based applications. 
Unique qualities of a low-code mobile app

Software 2.0 – No code / Low code platforms

Remember when software was eating the world? The trendy observation these days is that artificial intelligence (AI) is eating software.

Even Google CEO Sundar Pichai has spoken about software that “automatically writes itself.” And certainly, if you consider software development to be little more than the creation of oft-repeated segments of code, then the rapid advances in AI would give software engineers a pause.

Traditionally, developers have written software as a series of hard-coded rules:

If X happens then do Y. The human instructs the machine, line by line. That’s Software 1.0. But Software 2.0 recognizes that — with advances in deep learning — we can build a neural network that learns which instructions or rules are needed for a desired outcome.

The argument right now is that would we really write more codes Or  We’ll be just finding data and feeding it into machine learning systems. In this scenario, we can imagine the role of software engineer morphing into “data curator” or “data enabler.” Whatever we call ourselves, we’ll be people who are no longer writing code.

However, software engineering is not going away anytime soon. Even if a new role evolves — be it Software 2.0 engineer, data scientist 2.0, etc. — there are ways in which this technology shift will empower the practitioner of Software 1.0 or existing software engineers.

The three evolutions of no-code technology

The term “no-code movement” is fairly new in our common vocabulary. The concept that became no-code began in the 1990s as the software was starting to pick up. 

Phase 1: The all-in-one platform and single-function software (the 1990s)

In the early 1970s, computers were entirely command-line driven. If you couldn’t code, you couldn’t use a computer. By the 1980s, early graphic user interfaces (GUIs) designed by IBM made it possible to operate basic functions on a computer without needing to know code, but building and using most software was still code-driven.

By the 1990s, innovators like Microsoft and Adobe had built all-in-one programs that massively democratized how many people could use the software. Programs like Word, Excel, and Photoshop were built so that end-users didn’t need to know code in order to use the platform’s core feature set. 

These platforms made it easy to accomplish a specific task without code, but you would have to buy another piece of technology to accomplish a different task. Further, if you wanted these systems to connect or communicate in any way, you needed to know application programming interface (API) development and code the connections manually. 

Phase 2: Extended functionality, plugins, and app ecosystems (the 2000s)

At the turn of the millennium, new players democratized who could use – and even build on – computers. Tech startup Automattic launched WordPress in 2003, revolutionizing how people built their own websites. With pre-built themes with pre-built customization options, the average person could buy a theme (or even access dozens of free themes) to get a basic website live in minutes. 

A year later, Automattic launched WordPress Plugins, which were one-click features that you could install on your WordPress site to extend its functionality. According to reports, the first plugins allowed you to sell products via your WordPress site and embed forms to capture visitor information. Salesforce brought this concept to the business world, launching its AppExchange in 2005. Marc Benioff famously purchased the rights to the name “App Store” ahead of Salesforce’s launch, but ultimately chose the name “AppExchange” instead. He gave the “App Store” rights to his mentor, Steve Jobs, as a gift, which Apple used when it launched the App Store in 2008. E-commerce giant Shopify followed suit with the Shopify App Store in 2009.

The promise of apps and plugins was that people could easily extend the functionality of their site without code (or with only a few lines, instead of having to build whole features by themselves). Each app offered standard functionality and many offered premium options. Becoming an app or plugin developer not only became a full-time job for many companies but became a lucrative independent business model that paved to way for the future of no-code.

Phase 3: The ability to build apps without code (the 2010s – Present)

Throughout the 2010s, no-code platforms like WordPress, Salesforce, and Shopify continued to upgrade their core systems to make it easier to build and customize their platforms without code. App creators on these ecosystems also focused more heavily on additional features and customizability – whether in their free plans or adding these features as premium upsells.

But another innovation happened: no-code platforms started popping up to empower people to build whole apps without code. Instead of relying on plugin developers to make the feature you needed, you could build it yourself. Even API connections got the no-code treatment from no-code platforms like Zapier. 

The future of no-code movement

The earliest iterations of no-code builders helped with wireframes and prototypes, but people assumed you’d need to move to code eventually. Modern no-code builders, on the other hand, are capable of scaling up to thousands of users without ever needing to touch a line of code. This opens up significant opportunities for the future of no-code.

1. The no-code tech company

No-code is reaching levels of scalability and customizability that we’re likely to see whole tech companies running on products built without code. This not only democratizes who can build tech companies, but it also creates more opportunities for freelancers and other independent entrepreneurs to build “micro-SaaS” products – like online marketplaces, e-learning platforms, custom client portals, or subscription communities – that bring in great lifestyle revenue streams. 

2. Internal apps will be no-code

No-code makes it easy to build custom apps that are secure and user-friendly with no coding required. That means more companies are likely to turn to no-code tools for employee-use-only applications such as internal communications, time tracking, and even task tracking. This could especially be the case in startups that don’t have the budget to buy existing SaaS platforms or have unique needs because of the innovative nature of their company.

3. Entrepreneurship accelerated

New founders won’t need to go through the old process of building a wire frame and fundraising to build their MVP. Instead, future no-code tools will make it easier than ever to launch a tech company. You can build a prototype or even a full version one in a few days completely solo, then start testing and selling the product immediately. This will have profound effects for people that want to solve local business problems with technology, but that don’t have a large enough market to interest venture capitalists or software engineers to build a code-based solution. 

4. Going beyond business

Beyond business use cases, the no-code movement will make it easier than ever for community groups, nonprofits, and charities to build purpose-built apps for their causes. Outside of organizations, individuals can also build no-code apps for their own life – communicating with friends, managing their personal community, or building automation to make parts of their life easier or more powerful.

Evolution of low-code/no-code tools

Low-code/no-code platforms stem from earlier rapid application development (RAD) tools such as Excel, Lotus Notes and Microsoft Access that likewise put some development-like capabilities into the hands of business users (i.e., non-IT professionals).

However, those tools required users to thoroughly understand the business apps and their development environments in order to build capabilities. In contrast, with low-code and no-code options’ drag-and-drop features, users need either minimal or no knowledge of the tools or development in general.

Furthermore, development with RAD tools generally produced capabilities used by the individual who created the functionality, or by a limited number of users associated with the creator (usually a work group or business unit). Apps produced with low-code or no-code platforms, on the other hand, are robust enough to be used across departments and throughout the entire enterprise, and even by external users such as customers and business partners.

Unique qualities of a low-code mobile app

Low-code vs. no-code development platforms: What are the differences?

Low-code and no-code systems offer the same fundamental benefits, but their names indicate the key difference between these two methods of application development.

Low-code development requires users to do some level of coding, albeit much less than is required with traditional application development. Professional developers and programmers use low-code to quickly deliver applications, and to shift their efforts away from commodity programming tasks to more complex and unique work that has bigger impact and more value to the organization. Non-IT professionals with some programming knowledge also use low-code tools to develop simple apps or expanded functions within an app.

No-code development targets nontechnical users in various business functions who understand business needs and rules, but possess little or no coding experience and programming language skills. These citizen developers can use no-code to easily and quickly build, test and deploy their business apps, as long as the chosen tools align with these commodity functions and capabilities.

There are also some distinctions in how users apply no-code and low-code. No-code is typically used to create tactical apps to handle simple functions. Low-code can be used in those cases as well, but additionally to create apps that run processes that are critical to a business or to an organization’s core systems, such as certain integrations and digital transformation initiatives.

The line between no-code and low-code isn’t always clear — and this carries over into the low-code and no-code platforms themselves. Many technology product analysts consider no-code part of the low-code market, as even the strongest platforms require some level of coding for parts of the application development and deployment process. Vendors drive much of the distinction between low-code and no-code platform capabilities as they position their products for different groups of customers.

Generally speaking, no-code platforms are a specialized type of low-code cloud platform in which the required visual components address industry-specific functions, a specific line of business (LOB) or support a specific company’s corporate branding. Low-code platforms, on the other hand, may require the assistance of in-house developers to make small changes to back-end code so the new app will align with other business software.

Low-code development platform vendors

Dozens of mainstream and niche software vendors offer low- or no-code platforms, many of which run in the cloud. Gartner ranks nearly 20 in its “2020 Magic Quadrant for Enterprise Low-Code Application Platforms.”

An incomplete list of some of the most common low-code platform vendors and tools includes:

  • Appian
  • Claris FileMaker
  • DWkit
  • Google AppSheet
  • Looker 7
  • Mendix
  • Microsoft PowerApps
  • OutSystems
  • Robocoder Rintagi
  • Salesforce Lightning
  • Sisense
  • Skyve Foundry
  • Temenos (formerly Kony)
  • SIB Visions VisionX
  • Wix Editor X
  • Yellowfin 9
  • Zoho Creator

No-code development platform vendors

Many low-code platforms offer no-code functionality as well, such as Appian, Mendix, Microsoft PowerApps, OutSystems and Salesforce Lightning.

Other vendors that offer no-code development platforms include:

  • Airtable
  • AppGyver
  • AppSheet
  • Appy Pie
  • AWS Honeycode
  • Betty Blocks
  • Bubble
  • Carrd
  • Glide
  • Gumroad
  • Kissflow
  • Memberstack
  • Nintex
  • Notion
  • Outgrow
  • Payhere
  • Quickbase
  • Shopify
  • Stripe
  • Umso (formerly Landen)
  • Voiceflow
  • Zapier
  • Zudy Vinyl

BI & Data Visualization

For every business, there is a lot to deal with data. Data visualization becomes essential on every business and there is large demand in this area.

Data Visualization is a process that represents information visually so it can be learned quickly and easily. Business Intelligence is a process that focuses on gathering, organizing, recognizing patterns in, and deriving meaning from the information that is gathered by a business. As one of the essential steps in the business intelligence process, data visualization takes the raw data, models it, and delivers the data so that conclusions can be reached.

The Best Data Visualization Tools and Software


Platform: ChartBlocks

Description: ChartBlocks offers an online chart building tool that lets you import your data, design a chart, and then share it with ease. No coding is required to enable users to build charts via a simple designer. You can also choose from dozens of different chart types and pull data from almost any source. ChartBlocks supports creating charts that pull data from multiple sources as well. The tool touts a data import wizard that takes you through the entire process step-by-step.


Platform: Cyfe

Description: Cyfe offers a business dashboard creator that lets you monitor and visualize important data (social media, analytics, marketing, sales, support) in one place. The product features a number of pre-built dashboard templates that can be modified to meet specific needs. Users can also pull data from popular sources, and Cyfe touts more than 100 integrations and 250 metrics out-of-the-box. There are automated reports and widget alerts as well, which can be downloaded or scheduled.


Platform: Databox

Description: Databox offers a business analytics platform for KPI dashboards that pulls organizational data into one place so users can track performance and discover insights in real-time. The product lets you mix and match metrics from different sources into one dashboard. Databox features a DIY Dashboard Designer that enables users to pull the metrics they need, visualize KPIs in a number of ways, and build dashboards without the need for special coding or design skills.


Platform: Datawrapper

Description: Datawrapper provides a web tool for creating a variety of interactive charts and maps. No code or design skills are required, and charts can be embedded in your website. Users can simply copy data from Excel or Google Sheets or upload CSV files or link to a URL for live-updating. The basic (free) version allows for 1 user, 1 locator map, and 10,000 chart views per month. There are also several paid offerings that include access for additional users and more advanced capabilities.Learn more and compare products with the Solutions Review Buyer’s Guide for Analytics and Business Intelligence Platforms.

Easy Insight

Platform: Easy Insight

Description: Easy Insight offers a cloud business intelligence tool that enables you to create reports and dashboards and visualize data through charts and tables. The product also enables the combination of different services in databases so users can create a single view of customers across multiple apps. Easy Insight also touts the ability to create and update data right from your reports, as well as drill from charts into detailed data and click right back to the source.


Platform: Exago BI

Description: Exago BI is completely web-based and a prime embedded solution for software companies looking to provide ad hoc reporting, dashboards, and business analysis to their clients. Integration with web-based SaaS and or on-prem applications allows non-technical users to create reports and dashboards with no IT intervention. Exago BI offers a wide variety of advanced features including interactive data visualizations, geo-maps, drill-downs, user-defined formulas, and data merging into predefined templates.

Learn more and compare products with the Solutions Review Buyer’s Guide for Analytics and Business Intelligence Platforms.

Golden Software

Platform: Grapher

Description: Golden Software’s Grapher is a full-function graphing application for scientists, engineers, and business professionals. The product touts more than 80 unique and customizable 2D and 3D graph styles. Graphs can be enhanced with legends, titles and labels, summation plots, graph magnifiers, and statistical reports. Grapher also includes extensive analysis charts, tools, and statistical features to identify trends, find new insights and provide a holistic view of data.


Platform: Geckoboard

Description: Geckoboard offers a data dashboard product that makes it easy for you to share important data, metrics and KPIs clearly. The tool helps to streamline data from spreadsheets, databases and other tools for presentation purposes. Real-time metrics and more than 60 integrations make it easy to create live dashboards. Geckoboard also touts an unmissable summary of key performance indicators. Users can easily share dashboards with team members through email, chat, documents, or bookmark them for quick access.

Platform: Grow

Description: Grow offers a no-code, full-stack business intelligence and data visualization tool. The product features data integration capabilities that enable users to connect, store, and blend data from hundreds of data sources. Grow then provides the ability to marry and transform disparate data sources so you can filter, slice, and explore different visualizations. The built-in data explorer defines how you want to navigate data via charts and graphs which are displayed in metrics and dashboards.


Platform: GoodData

Description: The GoodData platform provides creation, delivery, and automated management of analytics at scale that allows organizations to deliver insights to customers, partners, and other users. GoodData is designed to support any analytical product roadmap and enables customers to offer their partners any data source, visualization, interaction pattern, or integration they need. The tool offers analytics and expertise to operationalize intelligent decisions within business applications and business processes.


Platform: iDashboards

Description: iDashboards offers a data visualization platform for customers in a wide array of vertical industries. The product features customizable and flexible dashboard tools that integrate with popular data sources. iDashboards lets users quickly view and analyze critical performance metrics as well. Dashboards can be created on any device while the solution touts hundreds of chart options for data visualizations of any kind. Users can share dashboards internally or publicly to keep the back-end secure. Role-based permissions and other integrations are also available.


Platform: Infogram

Description: Infogram offers an intuitive data visualization tool for users of varying skill levels. The product features ready-to-use templates and custom templates with your brand, colors, fonts, and logo. Infogram also touts interactive content via object animations like setting objects to zoom, bounce, flip and fade, as well as enhanced interactivity through tooltips, tabs, clickable legends, and linking. Teams can be organized into groups and permissions can be set by role.


Platform: Klipfolio

Description: Klipfolio offers a custom dashboard and reporting tool that combines formulas, functions, and data modeling to help users build actionable reports. Customers can choose from pre-built visualizations in the Klip gallery or incorporate proprietary branding with custom themes. Klipfolio enables the sharing of dashboards and reports via view-only links, PDFs, scheduled emails, or Slack messages. The solution provider offers free add-on products like PowerMetrics (lightweight data analytics) and MetricHQ (online dictionary of metrics and KPIs) as well.


Platform: Power BI

Related products: Power BI Desktop, Power BI Report Server

Description: Microsoft is a major players in enterprise BI and analytics. The company’s flagship platform, Power BI, is cloud-based and delivered on the Azure Cloud. On-prem capabilities also exist for individual users or when power users are authoring complex data mashups using in-house data sources. Power BI is unique because it enables users to do data preparation, data discovery, and dashboards with the same design tool. The platform integrates with Excel and Office 365, and has a very active user community that extends the tool’s capabilities.


Platform: pi

Description: pi is a three-in-one solution that combines business intelligence with simple reporting and predictive analytic capabilities via self-service dashboards. Users can white label the software and embed it into existing SaaS products or hook it up to cloud data warehousing and ETL tools for a more seamless experience. pi also centralizes various sources of data and uses AI analytics and automation to make insights readily available while dashboards can be completely customized for each client without the need to write code.

Tableau Software

Platform: Tableau Desktop

Related products: Tableau Prep, Tableau Server, Tableau Online, Tableau Data Management

Description: Tableau offers an expansive visual BI and analytics platform, and is widely regarded as the major player in the marketplace. The company’s analytic software portfolio is available through three main channels: Tableau Desktop, Tableau Server, and Tableau Online. Tableau connects to hundreds of data sources and is available on-prem or in the cloud. The vendor also offers embedded analytics capabilities, and users can visualize and share data with Tableau Public.


Platform: Toucan Toco

Description: Toucan offers a data storytelling platform designed for the non-technical decision-maker. The product lets users communicate actionable insights via a built-in no-code framework. Toucan Toco adapts to usage habits by deploying apps to all devices quickly without additional work, installation, or post-deployment maintenance. Included collaboration capabilities can be utilized via native integrations with Teams and Slack. The tool also touts an adaptive design and the ability to embed charts to websites or other platforms.


Platform: Visme

Description: Visme is an all-in-one visual communication tool that lets users create presentations, infographics, reports, social graphics, and more. The tool features more than 40 different chart and diagram types bar graph, pie chart, flowcharts, diagrams, line graphs, histograms), as well as live data integration and an easy-to-use graph maker. Graphs can be easily shared, downloaded, or embedded as well. Visme touts a free library of chart templates, millions of stock photos and icons, the ability to customize brand fonts and colors, and a drag-and-drop interface.



Platform: Zoho Analytics

Description: Zoho Analytics is a self-service BI and data analytics tool that lets you incorporate data from a wide range of sources, blend it together, and create cross-functional reports and dashboards. The product features a drag-and-drop designer, as well as different visualization tools to drill down to specifics. A “smart” assistant called Zia can answer questions in the form of reports and KPI widgets via AI, machine learning and natural language processing. Users can share and publish reports and smart data alerts ping you when outliers or anomalies happen.


Full Stack Development

In technology development, full stack refers to an entire computer system or application from the front end to the back end and the code that connects the two. Ideally the expectations are that Full stack developer is someone who knows UI / UX, Frontend, Business logic, APIs, Backend and databases

The front end includes everything that a client, or site viewer, can see and interact with. By contrast, the back end refers to all the servers, databases, operating system and other internal architecture that drives the application; usually, the end-user never interacts with this realm directly.

Front End Development

Front end, or client-side, development is the practice of producing an interface that end users can view. A front end developer’s primary goal is to develop a visually pleasing and easy-to-use platform.

This universal front end skill set includes:

  • HTML
  • CSS
  • JavaScript
  • DOM Manipulation

Back End Development

Back end development refers to the work that goes on behind the scenes of a site or application — the underlying architecture of the product. The term encompasses the database, server, and other intermediary proprietary software.

To accomplish this goal, back end developers must have a robust set of foundational skills. Including a few like:

  • Java
  • Object-Oriented Programming
  • Python

Technology related to full stack development:

Front end: It is the visible part of website or web application which is responsible for user experience. The user directly interacts with the front end portion of the web application or website.
Front end Languages: The front end portion is built by using some languages which are discussed below:

  • HTML: HTML stands for Hyper Text Markup Language. It is used to design the front end portion of web pages using markup language. HTML is the combination of Hypertext and Markup language. Hypertext defines the link between the web pages. The markup language is used to define the text documentation within tag which defines the structure of web pages.
  • CSS: Cascading Style Sheets, fondly referred to as CSS, is a simply designed language intended to simplify the process of making web pages presentable. CSS allows you to apply styles to web pages. More importantly, CSS enables you to do this independent of the HTML that makes up each web page.
  • JavaScript: JavaScript is a famous scripting language used to create the magic on the sites to make the site interactive for the user. It is used to enhancing the functionality of a website to running cool games and web-based software.

Front End Frameworks and Libraries:

  • AngularJS: AngularJs is a JavaScript open source front-end framework that is mainly used to develop single page web applications(SPAs). It is a continuously growing and expanding framework which provides better ways for developing web applications. It changes the static HTML to dynamic HTML. It is an open source project which can be freely used and changed by anyone. It extends HTML attributes with Directives, and data is bound with HTML.
  • React.js: React is a declarative, efficient, and flexible JavaScript library for building user interfaces. ReactJS is an open-source, component-based front end library responsible only for the view layer of the application. It is maintained by Facebook.
  • Bootstrap: Bootstrap is a free and open-source tool collection for creating responsive websites and web applications. It is the most popular HTML, CSS, and JavaScript framework for developing responsive, mobile-first web sites.
  • jQuery: jQuery is an open source JavaScript library that simplifies the interactions between an HTML/CSS document, or more precisely the Document Object Model (DOM), and JavaScript. Elaborating the terms, jQuery simplifies HTML document traversing and manipulation, browser event handling, DOM animations, Ajax interactions, and cross-browser JavaScript development.
  • SASS: It is the most reliable, mature and robust CSS extension language. It is used to extend the functionality of an existing CSS of a site including everything from variables, inheritance, and nesting with ease.
  • Some other libraries and frameworks are: Semantic-UI, Foundation, Materialize, Backbone.js, Express.js, Ember.js etc.

Back end: It refers to the server-side development of web application or website with a primary focus on how the website works. It is responsible for managing the database through queries and APIs by client-side commands. This type of website mainly consists of three parts front end, back end, and database.
The back end portion is built by using some libraries, frameworks, and languages which are discussed below:

  • PHP: PHP is a server-side scripting language designed specifically for web development. Since, PHP code executed on server side so it is called server side scripting language.
  • C++ It is a general purpose programming language and widely used now a days for competitive programming. It is also used as backend language.
  • Java: Java is one of the most popular and widely used programming language and platform. It is highly scalable. Java components are easily available.
  • Python: Python is a programming language that lets you work quickly and integrate systems more efficiently.
  • JavaScript: Javascript can be used as both (front end and back end) programming languages.
  • Node.js: Node.js is an open source and cross-platform runtime environment for executing JavaScript code outside of a browser. You need to remember that NodeJS is not a framework and it’s not a programming language. Most of the people are confused and understand it’s a framework or a programming language. We often use Node.js for building back-end services like APIs like Web App or Mobile App. It’s used in production by large companies such as Paypal, Uber, Netflix, Walmart and so on.

Back End Frameworks: The list of back end frameworks are: Express, Django, Rails, Laravel, Spring etc.

  • The other back end program/scripting languages are: C#, Ruby, REST, GO etc.

Note: JavaScript is essential for all stacks as it is dominant technology on Web.


Database is the collection of inter-related data which helps in efficient retrieval, insertion and deletion of data from database and organizes the data in the form of tables, views, schemas, reports etc.

  • Oracle: Oracle database is the collection of data which is treated as a unit. The purpose of this database is to store and retrieve information related to the query. It is a database server and used to manages information.
  • MongoDB: MongoDB, the most popular NoSQL database, is an open source document-oriented database. The term ‘NoSQL’ means ‘non-relational’. It means that MongoDB isn’t based on the table-like relational database structure but provides an altogether different mechanism for storage and retrieval of data.
  • Sql: Structured Query Language is a standard Database language which is used to create, maintain and retrieve the relational database.

Few Popular Stacks:

  • MEAN Stack: MongoDB, Express, AngularJS and Node.js.
  • MERN Stack: MongoDB, Express, ReactJS and Node.js
  • Django Stack: Django, python and MySQL as Database.
  • Rails or Ruby on Rails: Uses Ruby, PHP and MySQL.
  • LAMP Stack: Linux, Apache, MySQL and PHP