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Blog

NEW 2.8 Release: check out all new features

2.8 version is released. We are thrilled to show you all the new updates we worked on.

This major release is bringing more comfort and accessibility to diverse tech stacks. Meet the new connection approach for different data sources; at hand integrations with A-list frameworks and all-new ways to match new programming languages.

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NEW! Connect to any data source with Flexmonster

With every new version, we do our utmost for you to enjoy Flexmonster all the more. The motto of 2.8 release is 'more flexibility, more performance, fewer limitations.'

Striving to provide you with more ways to work with our front-end data visualization tool seamlessly, we're thrilled to introduce the Flexmonster custom data source API.

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NEW! Pivot Table for MongoDB: a new approach to visualize your database

There is a move towards the usage of NoSQL databases that are taking off rapidly. As proof, the MongoDB database is widely chosen by our clients.

This is not surprising as MongoDB can store huge amounts of data with little or no structure. It doesn’t limit the types of data that can be stored in one place. BSON, the format of data storing in MongoDB, allows storing arrays and other complex data types.

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Pivot Table 2.8: integration with Django and Jupyter

Readable, powerful and beginner-friendly. These are the main words that best describe Python

This object-oriented programming language wins the hearts and minds of millions of developers around the world.

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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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Flexmonster Pivot Table: 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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#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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