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  2. List of column-oriented DBMSes - Wikipedia

    en.wikipedia.org/wiki/List_of_column-oriented_DBMSes

    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++

  3. Codecademy - Wikipedia

    en.wikipedia.org/wiki/Codecademy

    Codecademy is an American online interactive platform that offers free coding classes in 13 different programming languages including Python, Java, Go, JavaScript, Ruby, SQL, C++, C#, Lua, and Swift, as well as markup languages HTML and CSS.

  4. Category:Free database management systems - Wikipedia

    en.wikipedia.org/wiki/Category:Free_database...

    Database engine or management software that has been released under an open source license. Free and open-source software portal; Subcategories.

  5. Open Database Connectivity - Wikipedia

    en.wikipedia.org/wiki/Open_Database_Connectivity

    What was missing was the SQL parser that could convert those calls from their text form into the C-interface used in Jet. To solve this, MS partnered with PageAhead Software to use their existing query processor, SIMBA. SIMBA was used as a parser above Jet's C library, turning Jet into an SQL database.

  6. SQuirreL SQL Client - Wikipedia

    en.wikipedia.org/wiki/SQuirreL_SQL_Client

    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.

  7. Operational database - Wikipedia

    en.wikipedia.org/wiki/Operational_database

    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.