Comparison Battle Card
Make the right decision for your Company and Customers
About Visualisation & BI Tools
Whether you’re just starting or in the middle of your search, you may have already heard of market-leading products Microsoft Power BI, Tableau and Qlik, as they are all three quite popular BI solutions. However, you probably want to know how they stack up against each other including HyperCentral and more importantly, against managing your data requirements. We’ll briefly take a look at an overview of their features and what makes them unique.
Microsoft Power BI is an analytics and data visualization tool that enables users to connect to a wide variety of data sources and create reports and dashboards. Though it originally emerged as an add-on to Microsoft Excel, Power BI has since grown to stand on its own as a formidable product that fulfills the needs of all companies, from small businesses to large enterprises. Its highlights include seamless integration with Microsoft Office technologies, powerful data preparation and data querying capabilities, a drag-and-drop data visualization builder and a perpetually free version.
Tableau is a data visualization solution that excels in helping businesses turn their data into actionable insights through interactive dashboards and stories. With a high degree of customization and security options, it offers users considerable control over their data storytelling. Through a user-friendly interface and intuitive drag-and-drop functionalities, it encourages users of all technical skill levels to create and explore data visualizations. While Tableau Desktop is the main offering, it comes as a part of several different packages that pair it with a license for Tableau Server or Tableau Online.
QlikView is a data discovery and analytics platform from Qlik Technologies that helps companies make data-driven decisions by making insights accessible to business users. Built for speedy deployment and quick configuration, it connects directly to and pulls information from almost any data source and then allows users to analyze all their data and build visualizations that convey its story effectively.
Its differentiators include the Qlik Associative Engine, which indexes every possible relationship among data to render faster insights and enable associative analysis, a data governance dashboard and wizards for alerts, reporting, and more. Though the vendor encourages users to move to its cloud-based QlikSense platform, it continues to provide updates and support for QlikView, as it remains a strong competitor in the business intelligence field.
Comparison Battle Card
Changing the game much more than your normal Data Visualisation, BI and Reporting toolset.
HyperCentral is new to the market but offers so much out of the box with an amazing ROI and TCO for each customer. Their unbeatable pricing for larger volume licences that include all addon modules and future releases with no hidden costs drives transparency for each business case during technology refreshes. HyperCentral R&D delivers innovation with a difference compared to the competition.
Example: Digital Market Place to sell and automate products, service orders, activation and billing with a process automation engine. Build Web Apps to solve ever-changing business processes. Data Writeback to create, edit, change and publish to any source data type. Cloud Orchestrate and manage multi-cloud vendors like Azure, VMware, AWS. For larger corporates branding is very important and HyperCentral delivers true white-label features throughout each multi-tenant tier. No matter what your experience is like with data management HyperCentral puts the power in the user’s hands being able to create new connectors, widgets, dashboards, reporting however they want through low code and codeless product design. Overall manages and enhances Big Data with no limitations on refreshing, real-time. throttling, and caching on a unique architectural platform.
A market leader for data virtualisation however very expensive.
Expensive product across small, medium and enterprise customers. Tableau licences require minimum quantity across the range example: Viewer requires at least 100 user licences for companies to purchase this plan. Great design and user-intuitive but can be complex with all the features. All versions Desktop, Online and Mobile nice layout and ease of use. Does not provide the feature of automatic refreshing of the reports with the help of scheduling. Therefore, there is always some manual effort required when users need to update the data in the back-end. Tableau will never make any changes to the source data. Tableau is a strictly read-only technology. Requires 3rd party add-ons like Writeback application.
Expensive product with complex licensing model with numerous upsell add-ons
Numerous upsell add-ons. Example: Email is separated into a completely new product called Nprint, it would be nice to have email as a built-in feature of Qlik Sense. The coding of equations is quite complicated also deep learning curve on Qlik scripting language. Qlik effective augmented analytics combines the best aspects of machine intelligence and human curiosity to help users get faster insights, consider data from unique angles, increase productivity and help users of all skill levels make better decisions based on AI analytics. Qlik Sense is good for simple analytics. However, it is not that easy to set up "what if" scenarios, more advanced statistical analysis, and custom stuff. Qlik Sense does not support write back to the data source from the User Interface. Varying results with Qlik Desktop, View and Sense versions. Complex front-end development makes the dashboards a bit sluggish and slow.
Complex and cumbersome for most users.
Deep understanding of the development and Business Intelligence experience is required. More suited to data mining not user friendly. Online Pro version offers good value but limited in features and add-ons. Can be expensive if you want on-premise version. The complex learning curve to develop visual stories. If you need to make advanced changes to the imported data, it is required to learn the M-Query, which is a Power BI programming language. Power BI is very limited write-back functionality only with Microsoft SQL databases. Performance and real-time is limited up to 8 reloads on Pro version and 48 on Enterprise per day.