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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.
ClickHouse: ClickHouse – Github Issues: ClickHouse Roadmap: Open Essbase: myOracle Support: Closed IBM Cognos TM1: IBM Service Request: Closed icCube Stackoverflow: Closed Jedox OLAP Server: Mantis: Available upon request Open Kyvos: Zendesk Available upon request Closed Microsoft Analysis Services: Connect - Closed MicroStrategy Intelligence ...
Create/alter table: 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
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
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.
The SQL Editor, based on RSyntaxTextArea by fifesoft.com, provides syntax highlighting. It can open, create, save and execute files containing SQL statements. SQuirreL supports simultaneous sessions with multiple databases. This allows comparing data and sharing SQL statements between databases. [4] SQuirreL runs on any platform that has a JVM.
Still, Trump's nomination of Scott Bessent to the top Treasury post raised hopes that tariffs will be more measured. And with only 21 trading days left in the year, analysts, investors, and market ...
In computing, a materialized view is a database object that contains the results of a query.For example, it may be a local copy of data located remotely, or may be a subset of the rows and/or columns of a table or join result, or may be a summary using an aggregate function.