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Mondrian

Open source platform for big data deployments
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What is Mondrian?

It is a Hitachi Group Company, data integration and business analytics company with an enterprise, Online Analytical Processing server (OLAP). Allows business users to analyze large and complex amounts of data in real-time.
Mondrian is a tool in the Big Data Tools category of a tech stack.
Mondrian is an open source tool with 1.2K GitHub stars and 731 GitHub forks. Here’s a link to Mondrian's open source repository on GitHub

Who uses Mondrian?

Companies

Developers
16 developers on StackShare have stated that they use Mondrian.

Mondrian Integrations

Mondrian's Features

  • Analyze all your data in real-time
  • System responds to queries fast enough to allow an interactive exploration of the data
  • Brings multidimensional analysis to the masses
  • Allowing users to examine business data by drilling and cross-tabulating information.

Mondrian Alternatives & Comparisons

What are some alternatives to Mondrian?
Druid
Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
Apache Kylin
Apache Kylin™ is an open source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop/Spark supporting extremely large datasets, originally contributed from eBay Inc.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
See all alternatives

Mondrian's Followers
26 developers follow Mondrian to keep up with related blogs and decisions.