Search Results for "olap database"

chDB is an in-process SQL OLAP Engine powered by ClickHouse. It is developed by ClickHouse, Inc and open-source contributors.

ClickHouse® is a fast, open-source column-oriented database management system that can generate analytical data reports through SQL queries in real time. According to several independent benchmarks, it far exceeds other comparable column-oriented database management systems, working even up to 1000 times faster. It is able to process hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. Apart from its blazing speed, ClickHouse is highly...

DuckDB is a high-performance analytical database system. It is designed to be fast, reliable and easy to use. DuckDB provides a rich SQL dialect, with support far beyond basic SQL. DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs), and more. For more information on the goals of DuckDB, please refer to the Why DuckDB page on our website. Processing and storing tabular datasets, e.g. from CSV or Parquet files. Interactive...

StarRocks is the next generation of real-time SQL engines for enterprise analytics. Real-time analytics is notoriously difficult. Complex data pipelines and de-normalized tables have always been a necessary evil. Processing any updates or deletes once data arrives has not been possible- until now. StarRocks solves these challenges and makes real-time analytics easy. Get amazing query performance on Star or Snowflake Schemas directly. From canceled orders to updated items, your analytics...

LucidDB is a DBMS optimized for business intelligence. Besides architectural innovations such as column-store, it supports many advanced features from SQL:2003, including SQL/MED and user-defined transformations written in Java.

BIOLAP - OLAP for Genome and Biology Data Sets. This project extends Mondrian OLAP to biology data sets. We provide tools to slice and dice genomic sequence similarities and more easily explore large genomic data sets.

something for OLAP :-)

Firewater is an open source scaleout RDBMS based on column store technology. It allows a cluster of commodity servers or virtualized cloud nodes to be used for fast response times on SQL and OLAP queries over massive datasets.