Nowadays, data is an important part of almost every decision-making process: from industrial production planning to financial market analysis. Companies are no longer just collecting data; they are expected to analyze it in real time, detect trends early, and react quickly to changes. As datasets grow larger and more complex, people need a powerful solution, and here comes Flexmonster.
One of the most powerful features of our pivot table is a wide variety of aggregations. You have two options for applying aggregations: via UI or code. Let’s look at the advantages and disadvantages of both of these methods:
Being professionals and data enthusiasts, the Flexmonster team is dedicated to creating lightning-fast analytical solutions. We stand behind successful products, including the free WebDataRocks Pivot Table, our feature-rich Flexmonster Pivot component, and the DataTableDev library. Although Flexmonster Desktop was once integral to our strategy, we have revised our perspective and chosen to discontinue the application, dedicating more resources to our core mission.
Starting with version 3.0, Flexmonster introduced a powerful, two-part structure: the Flexmonster server, which manages heavy-duty backend data processing, and the Flexmontser Pivot UI, which handles final client-side visualization. This architecture significantly boosts performance and scalability.
To make backend management more comfortable and intuitive, we have thoroughly redesigned the Admin Panel, prioritizing clarity, control, and ease of use.
So, we are excited to present the updated Admin Panel that will be available in 3.0 version! Below, we will provide a brief overview of its main functionality and explain how each part can be helpful to you.
The variety of data sources for Flexmonster makes it easier to find the perfect option for your project. At the same time, choosing the right data source is very important and can influence your experience with Flexmonster. So this article is here to help you make the right choice.
Get ready for a fresh new look. We've made some delightful changes to the Client's Area to upgrade your experience. While all the tabs you're familiar with are still there, we've given the design a stylish and pleasant refresh. The new, more intuitive layout makes navigating a breeze.
So, let’s check what you should expect when you log in.
We're continuing our series of articles on core pivot table features. Last time, we covered filtering. You can revisit that topic here: Mastering Filtering in Flexmonster Pivot. Now, we can move on to sorting.
Have you already tried using Flexmonster from the previous article? If so, you should already know that it's a powerful yet simple web tool that is handy in visualizing big datasets. Flexmonster helps you turn your data into clear, interactive reports. And of course, it offers sorting functionality to help you prioritize information with one click.
It's no secret that Svelte has been generating considerable buzz, and our clients have been eager to know if we planned to offer integration. You asked, and we did! We're incredibly excited to share that Flexmonster now provides full integration with Svelte.
For those new to this innovative framework, let's first explore what Svelte is all about and the key factors that have propelled it to such prominence.
In this article, learn how to build a powerful, Excel-style pivot table in React that transforms massive datasets into interactive, browser-based reports.
Back in Flexmonster 2.9, we often recommended using Flexmonster Data Server (FDS) when dealing with datasets that got over the 1GB mark. It was optional, but necessary for those who want better performance in certain cases.
With Flexmonster 3.0, this changes.
This release will be the result of a long process of questioning our own assumptions, facing technical limitations head-on, and rewriting the core of Flexmonster from the ground up.
This blog post is the first in a series of articles in which we’ll tell you more about each of this release’s features. We’d like to share why we decided to rebuild everything, what changed under the hood, and what you can expect from the new version.
Working on Flexmonster has been our team’s passion for years. The component has proven to be a powerful tool with a wide range of data visualization and analysis features. Our team has constantly looked for customers’ feedback and used it to evolve the component further.
Over time, we accumulated numerous ideas on making a qualitative leap to take reporting to a whole new level. Powered by insights and experience, three years ago, we began rewriting everything from scratch to create Flexmonster 3.0.
