We hope you’ve had enough time to get acquainted with WebDataRocks Pivot Table and make sure its functionality is the best fit for your analytical app.

Here at WebDataRocks, we strive to provide you with the quintessential features for data visualization and analytical reporting:

  • Connecting to local or remote CSV and JSON data sources 
  • 17 aggregation functions for data summarization
  • Filtering by members, values
  • Report filters
  • Sorting
  • Customization options
  • Exporting and saving results in different formats
  • Extensive JavaScript API
  • Conditional & number formatting

All these features work together to help you compose interactive reports and understand your data better.

What if you need more data to load?

You may have noticed that WebDataRocks perfectly works with data sets that do not exceed 1 MB. This quality satisfies most of the pivot’s users. 

But what if your business starts rapidly scaling? 

That particular moment can be hard to predict but it’s important to be prepared for any sudden changes in advance. Especially if your data also starts growing in size and the need to find scalable solutions for data analysis arises.

That’s exactly the case for which we’ve decided to prepare you. To handle either rapid or expected growth of your business successfully, we suggest migrating from WebDataRocks to Flexmonster – a more sophisticated and flexible reporting tool. 

If you are ready to discover more exciting features of Flexmonster Pivot which your project will certainly reap the benefits of, move ahead! 

1. Beyond CSV and JSON: working with other data sources

Surely, CSV and JSON are the most common data sources when it comes to storing the data. And WebDataRocks perfectly copes with its processing. 

But if you prefer to load the data directly from the database, you can try connecting to relational or NoSQL databases from Flexmonster Pivot.

Or if your data comes from an OLAP cube, you can connect to Pentaho Mondrian or Microsoft Analysis Services and start pivoting your data in minutes.

Lastly, if you prefer Elasticsearch to any other data storages, that’s not a problem at all likewise. You can easily connect to the index from the pivot table just as fast.

As you can see, Flexmonster provides a lot more data source options to which you can connect.

What else deserves special attention is the special algorithm under the hood of Flexmonster which ensures the data from the cube or index is loaded piece-by-piece, meaning the component loads only the data that is specified by the current slice

This approach guarantees that all the data calculations are performed on the server-side and less data is loaded into the browser thereby improving the overall performance of your app.

2. More flexibility of integration

The developers can experience more flexibility in terms of integration with the most popular tech stacks. Among the solutions stacks in which Flexmonster proved to work smoothly are LAMP and MEAN.

As for front-end frameworks, libraries, module loaders, bundlers, and languages, you can integrate the reporting tool with AngularJS, Angular, React, webpack, RequireJS, TypeScript, ASP.NET, PhoneGap, and a lot more. 

Check out the full list of client-side technologies for which Flexmonster provides ready-to-use wrappers and integration instructions. 

3. Extended filters

You may especially like more sophisticated filtering options of Flexmonster Pivot. 

As in WebDataRocks, you can easily manage how and when filters are applied to your data but using more versatile queries. 

Take advantage of filters by date – we are sure that your end-users may find these extremely powerful for their reports.

4. Total alignment with Material Design

What is distinctive about Flexmonster is its UI design inspired by the principles of Material Design. It makes the component totally suitable for any app, no matter where it’s published  – on Android, iOS or web. 

5. More customization options

As well as in WebDataRocks, you can customize the Toolbar, apply predefined themes, localize UI labels, customize cells, and configure exporting options of Flexmonster. 

However, you can feel even more freedom of personalization and change the component in line with the needs of your project. For example, you can completely change the context menu to add custom scenarios for the right-click action, enable search in the Field List, and a lot more. There are also more date and time formatting options available. 

If you want to dive into other visual customization options, refer to the Customizing appearance section.

6. Pivot Charts

This is the feature exclusive to Flexmonster. In addition to integrations with charting libraries, you can benefit from Pivot Charts that are always at hand. 

To understand patterns hiding in your data visually, simply send summarized numbers to Pivot Charts in a few clicks:

You can even try the split view to look at both charts and the grid at the same time.  

7. Extended API

The JavaScript API of Flexmonster offers many more API calls. For example, you can partially update data in the runtime, define custom sorting for hierarchy members, and more.

8. Advanced customer support

If you choose Flexmonster, you’ll also get new minor features and updates every two weeks. Besides, the Flexmonster Support team is always ready to help you to manage a case of any difficulty on the Forum

Discover Flexmonster Pivot Table & Charts

Feeling you need more data to analyze? Then you should give Flexmonster a try.

You have 30 days to test its functionality without any commitment and decide whether to move to a new solution or not. Oh, besides, it’s really easy. We’ve prepared a special guide for you to make the transitioning completely seamless. 👩‍💻👨‍💻

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