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Blog

NEW! Pivot Table 2.8: integration with R Shiny

R is a powerful language that is commonly used across the fields of Data Science and Machine Learning. Initially created as a language for learning programming while exploring the data, now it's favored by data scientists and researchers all over the world.

This is why we decided to make Flexmonster available for everyone who works with data in R.

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NEW! Pivot Table 2.8: integration with Vue

It’s Vue.js, Babe! 

For the framework that captures all developers’ hearts, we’ve developed the integration.

Today we’re drumming up the interest and unveiling what we’ve done. 

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NEW! Pivot Table 2.8: integration with React Native

Keeping up with the latest technologies in mobile app development, we couldn't miss React Native - the most powerful framework for building cross-platform applications. Supported by Facebook, its GitHub repository is the 2nd most popular by the number of contributions. 

Today we're excited to share with you awesome news about integration with React Native.

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Flexmonster Performance: A Million Rows in Seconds

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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#Angular9: feature highlights & up-to-date Pivot Table

Our team is constantly keeping the finger on the pulse of the front-end industry. 

With the upcoming Angular 9 release just around the corner, we were excited to try out all its newest features. But we're even more pleased to announce that Flexmonster is ready for Angular 9 - you can install the most up-to-date package right now.

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Flexmonster Pivot Table & Charts Roadmap for 2020

We hope you had a joyful holiday season and ready to start a new productive year full of new challenges and avenues. 

Our team has also prepared an ambitious plan for this year. 

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2019: Our Year in Review

2019 was full of exciting challenges for the Flexmonster team. As this year wraps up, we have reviewed all the achievements we made.

Let's spend some time remembering all the most remarkable milestones together! 🎄

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MySQL vs Oracle: core differences and similarities

Given an overwhelming variety of databases, choosing the best fit for your application is not a trivial task. Different aspects of your project have to be considered to find the database that perfectly matches its requirements. 

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Which Data Source to Choose to Boost Your Pivot’s Performance

Being designed to process and render large volumes of data, Flexmonster Pivot Table & Charts allows you to work with a dataset of any size in a fast and robust way. All companies from small businesses up to worldwide enterprises can benefit greatly from using Flexmonster. Our component easily renders 1 million unique rows, works with OLAP data cubes and Elasticsearch. These are the unique features that distinguish our component from the rest.

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Release highlights: improving UX of Flexmonster

With user-centered design in mind, we always strive to deliver top-notch UI updates to you.

But we care not only about making the design of the component visually appealing but also about ensuring that your interaction with Flexmonster is delightful and intuitive in all respects.

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NEW: Pivot Table for Kibana

Pivot Table for Kibana is ready and at your service.

Our latest release has been noted with a new feature that allows users to display data from Elasticsearch. We saw how swiftly it had been picked up by our customers and decided to enrich this feature even more.

We made a step ahead and created a pivot table plugin for Kibana users. Using a pivot table just like any other tool from the Kibana UI could greatly simplify the work with data. And we will show you how to.

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Mondrian vs Elasticsearch: What to Choose For Your Project

Finding an analytics back-end engine for your business application is a challenge for developers and data warehouse architects.

Your choice always depends on a wide range of business, application-specific and hardware requirements which need to be considered in the early phases of the software development lifecycle. (more…)