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Thursday, 18 April 2019 17:51

Metatron Discovery

Metatron Discovery is an end-to-end big data self service analytics open source solution, developed by SK Telekom Co. Ltd., Seoul, Korea. Metatron is able to process huge data sets super fast, powered by an optimized Apache Druid (a very fast highly scalable columnar data-store). This open source application provides easy data analytics for everyone, with an intuitive user interface with full API support.

Some key Features:
integrated powerfull interactive data preprocessing tool;
interactive dashboards with numerous preloaded charts;
supports query(SQL) based data exploration and GUI based data wrangling;
supports various data sources (e.g. DBs, Hive, PostgreSQL, MySQL, Presto or Kafka streams);
job and data usage monitoring;
metadata management;
supports 3rd party data analytics tool integration;
fine grain access control of users and workspaces;
overcomes druid weaknesses without performance degradation using Metatron optimized Druid;
full API support, enabling easy integration into your environment;
Docker support for distributed version deployment.

More information here: https://www.metatron.app
and here https://github.com/metatron-app/metatron-discovery

An on line demo is available here:
https://discovery.metatron.app/app/v2/user/login
Username: metatron and Password: metatron
Published in analytics
Wednesday, 22 March 2017 20:37

Superset a.k.a. Caravel

Superset is a free and open source data visualization tool, developed by Airbnb team for internal business needs, which you can harness its powers for your visualization analytic needs.

It's a very interesting project and we are testing it in our playground section (we will publish a demo in the next days).

Superset can connect to multiple data sources via SqlAlchemy, with some special features for Druid datasources and clusters connections.

More information on Superset on the project's page on GitHub.com.

The product is also available on Heroku, or you can run a Docker image demo for testing.
Published in analytics