We are so happy to announce the version 2.9 release of Flexmonster Pivot Table & Charts Component! This release is very diverse, but there is something that will appeal to all our users - the performance speed of Flexmonster has become even better! Compared to the previous version, we perform up to 3 times as fast!
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Since version 2.8 our customers can benefit from using our server-side tool for working with large data volumes - Flexmonster Data Server.
Initially, it was possible to configure the Data Server via configuration files, which is a preferred way for many developers. In this release, we are introducing a new way of working with the Data Server as a Windows / Unix service and providing a new GUI tool to manage and configure it -
Flexmonster Admin Panel.
Version 2.9 has brought many notable features. Among them, there is one we are incredibly proud of — accessibility.
We started working on it long before the major release, and it's been quite a journey to make Flexmonster accessible. Why did we invest so much into accessibility? Let us share our motivation with you:
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With the summer vibes, we are delighted to announce the release of a new Flexmonster 2.9 version.
Inspired to know what bright updates we have rolled out this once? Let’s dive into an overview of all the stunning features our team prepared for you. We do hope you will enjoy them to the fullest extent possible. Please share with us what you think! Your feedback will help us to improve the product even more.
Meanwhile, let us bring one of the updates to the spotlight.
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We get inspired by innovations. We are driven by innovations. Naturally, we strive to support newly emerging frameworks and technologies by making the lives of developers who create reporting software easier.
Therefore, we are excited to announce that now you can integrate Flexmonster Pivot Table & Charts with the Electron.js framework.
You definitely have noticed how swiftly Flexmonster displays thousands and millions of rows of your data.
But have you ever wondered how the pivot table component renders the rows of cells so fast each time you load a large data file?
Let’s shed some light on the reasons for fast performance and develop an understanding of how Flexmonster works.
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If you have already decided to use Flexmonster, then the next choice you will need to make is how to get the tool. Recently we added a new way to download Flexmonster packages. We made this change to make it easier and quicker to start the work with our component.
Before, Flexmonster offered only three options:
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We are well on the way towards our roadmap plan: most of our features have already been presented in biweekly minor updates. We hope you had time to test them actively.
Anyway, we want to point out all the features we are planning to gather in the upcoming version 2.9:
One common motivation to use Microsoft SQL Server Analysis Services is the analysis of massive datasets. OLAP cubes allow coping with much more significant data volumes than relational databases. However, many users claimed that multidimensional cubes were hard to understand, especially when designing the model.
Giving World is a non-profit organization that provides a unique way for businesses to donate their surplus stock and unwanted items to charitable organizations.
Their primary goal is to give a helping hand to people in need by providing them with much-needed resources. We should note that GW is a one-of-a-kind UK service that allows busy businesses and charity partners to arrange the logistics directly completely free of charge.
Powerful Business Intelligence (BI) capabilities are a great competitive advantage for almost any company.
The problem is that there is often a long and challenging road between wanting an effective BI platform and having an effective BI platform.
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The power of Flexmonster is that you can integrate it with the majority of the technical stacks. Since the component works on the client side of your app, it doesn’t rely on server-side technologies used within a project. That's why, you're free to pick up your favorite programming language, data store, and front-end framework, and start creating your outstanding analytics app empowered with an interactive web pivot table and pivot charts.
