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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 ...
Mondrian OLAP server: Jira: Open Oracle Database OLAP Option: myOracle Support: Closed SAP NetWeaver BW: OSS: Closed SAS OLAP Server: Support: Closed StarRocks StarRocks– Github Issues: StarRocks Roadmap: Open
Mondrian is an open source OLAP (online analytical processing) server, written in Java. It supports the MDX (multidimensional expressions) query language and the XML for Analysis and olap4j interface specifications. It reads from SQL and other data sources and aggregates data in a memory cache. Mondrian is used for:
OLAP and aggregated browsing (default is ROLAP) logical model of OLAP cubes in JSON or provided from external sources; hierarchical dimensions (attributes that have hierarchical dependencies, such as category-subcategory or country-region) multiple hierarchies in a dimension; arithmetic expressions for computing derived measures and aggregates
ClickHouse was widely adopted at Yandex including for Yandex.Tank load testing tool and Yandex.Market to monitor site accessibility and KPIs. In 2016, the ClickHouse project was released as open-source software under the Apache 2 license in June 2016 to power analytical use cases around the globe.
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 .
OLTP is often integrated into service-oriented architecture (SOA) and Web services. Online transaction processing (OLTP) involves gathering input information, processing the data and updating existing data to reflect the collected and processed information. As of today, most organizations use a database management system to support OLTP.
Since the early 1990s, the operational database software market has been largely taken over by SQL engines. In 2014, the operational DBMS market (formerly OLTP) was evolving dramatically, with new, innovative entrants and incumbents supporting the growing use of unstructured data and NoSQL DBMS engines, as well as XML databases and NewSQL databases.