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Bouquet – An Open Source Analytics Platform

Bouquet

Bouquet is an open source analytics toolbox to enable you to explore, share and connect your data to applications and visualizations. It provides a solution that lets non-technical users to analyze data via applications and without any SQL, and developers build self-service analytic apps in minutes. The company has been founded in 2016 in the United States of America.

FEATURES

EASY – An easy way to explore and visualize your data. All you need to do is connect to your existing data source.

SCALABLE – Enables you to set up a new cluster in the cloud. You can also boost your current infrastructure.

FLEXIBLE – Giving you total control, you can create your own analytic applications on top of a simple and robust framework easily.

DATA SOURCES

You can connect and analyze with the following data sources.

  • Apache Spark
  • Redshift
  • Oracle
  • MySQL
  • Apache Drill
  • Greenplum
  • PostgreSQL

APPLICATIONS

Listed below are some of the ready to use analytic applications:

  • OB Analytics – business and analyst meet to explore, visualize, understand and export a pre-configured OB Studio dataset.
  • BBD3 – a data visualization application that lets you create and save visualizations on top of your SQL data using Bouquet and D3.js
  • Squid Flow – helps you to understand your customers by visualizing how they use your product.
  • Path Analysis – identifies the most common paths through your platform and measure customer engagement.
  • Counter – facilitates the reporting of online usage statistics in a consistent, credible and compatible way.
  • Analytics Dashboard – Identifies trouble spots, which lead to higher customer satisfaction.

COMPETITION

The business world would not be interesting if there was no competition. Let us look at a few of Bouquet’s potential competitors:

  1. QUEDOO – Data visualization made simple.
  2. DATAPEAK – Create and share beautiful interactive data visualizations.
  3. DEXIMAL – A website analytics you will be happy to monitor.
  4. JUT – Dataflow analytics platform built for devops.
  5. QUERYTREE – Explore and understand your data through visualization.

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