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  2. ClickHouse - Wikipedia

    en.wikipedia.org/wiki/ClickHouse

    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. ClickHouse Inc. is headquartered in the San Francisco Bay Area with the subsidiary, ClickHouse B.V., based in Amsterdam, Netherlands.

  3. List of column-oriented DBMSes - Wikipedia

    en.wikipedia.org/wiki/List_of_column-oriented_DBMSes

    ClickHouse: C++ Released in 2016 to analyze data that is updated in real time CrateDB: Java C-Store: C++ The last release of the original code was in 2006; Vertica a commercial fork, lives on. DuckDB: C++ An embeddable, in-process, column-oriented SQL OLAP RDBMS Databend Rust An elastic and reliable Serverless Data Warehouse InfluxDB: Rust Time ...

  4. Comparison of OLAP servers - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_OLAP_servers

    Data processing, management and performance related features OLAP server Real Time Write-back Partitioning Usage Based Optimizations Load Balancing and Clustering Apache Doris Yes Yes Yes Yes Yes Apache Druid: Yes ? Yes Yes Yes Apache Kylin: Yes [34] No Yes Yes Yes Apache Pinot: Yes Yes Yes Yes Yes ClickHouse: Yes Yes Yes Yes Yes Essbase: Yes ...

  5. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    Apache Kylin is a distributed data store for OLAP queries originally developed by eBay. Cubes (OLAP server) is another lightweight open-source toolkit implementation of OLAP functionality in the Python programming language with built-in ROLAP. ClickHouse is a fairly new column-oriented DBMS focusing on fast processing and response times.

  6. ScyllaDB - Wikipedia

    en.wikipedia.org/wiki/ScyllaDB

    ScyllaDB is an source-available distributed NoSQL wide-column data store.It was designed to be compatible with Apache Cassandra while achieving significantly higher throughputs and lower latencies.

  7. List of relational database management systems - Wikipedia

    en.wikipedia.org/wiki/List_of_relational...

    Aster Data Systems: Proprietary CA Datacom: Proprietary CA IDMS: Proprietary Clarion: Proprietary ClickHouse: Apache License 2.0 Clustrix: Proprietary CockroachDB: Proprietary CSQL: Proprietary CUBRID: Apache, BSD DataEase: Proprietary DataFlex: Proprietary Dataphor: Proprietary dBase: Proprietary Derby (aka Java DB) Apache License 2.0 Empress ...

  8. Comparison of database administration tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_database...

    Yes - can create table, alter its definition and data, and add new rows; Some - can only create/alter table definition, not data; Browse table: Yes - can browse table definition and data; Some - can only browse table definition; Multi-server support: Yes - can manage from the same window/session multiple servers

  9. Information schema - Wikipedia

    en.wikipedia.org/wiki/Information_schema

    In relational databases, the information schema (information_schema) is an ANSI-standard set of read-only views that provide information about all of the tables, views, columns, and procedures in a database. [1] It can be used as a source of the information that some databases make available through non-standard commands, such as: