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  2. 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 ...

  3. ClickHouse - Wikipedia

    en.wikipedia.org/wiki/ClickHouse

    ClickHouse’s technology was first developed over 10 years ago at Yandex, Russia's largest technology company. [3] In 2009, Alexey Milovidov and developers started an experimental project to check the hypothesis if it was viable to generate analytical reports in real-time from non-aggregated data that is also constantly added in real-time.

  4. Shard (database architecture) - Wikipedia

    en.wikipedia.org/wiki/Shard_(database_architecture)

    A database shard, or simply a shard, is a horizontal partition of data in a database or search engine. Each shard may be held on a separate database server instance, to spread load. Some data in a database remains present in all shards, [a] but some appears only in a single shard. Each shard acts as the single source for this subset of data. [1]

  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. Column (database) - Wikipedia

    en.wikipedia.org/wiki/Column_(database)

    A column may contain text values, numbers, or even pointers to files in the operating system. [2] Columns typically contain simple types, though some relational database systems allow columns to contain more complex data types, such as whole documents, images, or even video clips. [3] [better source needed] A column can also be called an attribute.

  7. Change data capture - Wikipedia

    en.wikipedia.org/wiki/Change_data_capture

    If the data is being persisted in a modern database then Change Data Capture is a simple matter of permissions. Two techniques are in common use: Tracking changes using database triggers; Reading the transaction log as, or shortly after, it is written. If the data is not in a modern database, CDC becomes a programming challenge.

  8. Entity–attribute–value model - Wikipedia

    en.wikipedia.org/wiki/Entity–attribute–value...

    In-memory data structures: One can use hash tables and two-dimensional arrays in memory in conjunction with attribute-grouping metadata to pivot data, one group at a time. This data is written to disk as a flat delimited file, with the internal names for each attribute in the first row: this format can be readily bulk-imported into a relational ...

  9. Edit distance - Wikipedia

    en.wikipedia.org/wiki/Edit_distance

    One of the simplest sets of edit operations is that defined by Levenshtein in 1966: [2] Insertion of a single symbol. If a = u v, then inserting the symbol x produces u x v. This can also be denoted ε→ x, using ε to denote the empty string. Deletion of a single symbol changes u x v to u v (x →ε).