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OLAP server Issue Tracking System Roadmap Source code Apache Doris Apache Doris– Github Issues: Apache Doris Roadmap: Open Apache Druid: Druid – Github Issues: Open Apache Kylin: Jira: Apache Kylin Roadmap: Open Apache Pinot: Apache Pinot – Github Issues: Open ClickHouse: ClickHouse – Github Issues: ClickHouse Roadmap: Open Essbase ...
Mondrian OLAP server is an open-source OLAP server written in Java. It supports the MDX query language, the XML for Analysis and the olap4j interface specifications. Apache Doris is an open-source real-time analytical database based on MPP architecture. It can support both high-concurrency point query scenarios and high-throughput complex ...
Jedox is an Enterprise Performance Management software which is used for planning, analytics and reporting in finance and other areas such as sales, human resources and procurement. Its core is a cell-oriented, multi-dimensional in-memory OLAP database that has been especially designed for budgeting and forecasting , and data consolidation.
ClickHouse is an open-source column-oriented DBMS (columnar database management system) for online analytical processing (OLAP) that allows users to generate analytical reports using SQL queries in real-time.
Druid is a column-oriented, open-source, distributed data store written in Java.Druid is designed to quickly ingest massive quantities of event data, and provide low-latency queries on top of the data. [3]
Database name Language implemented in Notes Apache Doris Java & C++ Open source (since 2017), database for high-concurrency point queries and high-throughput analysis. Apache Druid: Java Started in 2011 for low-latency massive ingestion and queries. Support and extensions available from Imply Data. Apache Kudu: C++
Apache Kylin is an open source distributed analytics engine designed to provide a SQL interface and multi-dimensional analysis (OLAP) on Hadoop and Alluxio supporting extremely large datasets. It was originally developed by eBay, and is now a project of the Apache Software Foundation. [3]
Cubes is a light-weight open source multidimensional modelling and OLAP toolkit for development reporting applications and browsing of aggregated data written in Python programming language released under the MIT License.