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  2. Yellowbrick Data - Wikipedia

    en.wikipedia.org/wiki/Yellowbrick_Data

    The cloud native product retains many of the same architectural principles as the hardware product, such as Massively Parallel Processing, column storage, NVMe flash storage, compatibility with PostgreSQL front-end interfaces and the SQL query language. Following the cloud native approach enables Yellowbrick to be deployed in any public cloud ...

  3. PostgreSQL - Wikipedia

    en.wikipedia.org/wiki/PostgreSQL

    PostgreSQL (/ ˌ p oʊ s t ɡ r ɛ s k j u ˈ ɛ l / POHST-gres-kew-EL) [11] [12] also known as Postgres, is a free and open-source relational database management system (RDBMS) emphasizing extensibility and SQL compliance.

  4. Distributed SQL - Wikipedia

    en.wikipedia.org/wiki/Distributed_SQL

    relational database front end structure – meaning data represented as tables with rows and columns similar to any other RDBMS; automatically sharded data storage; underlying key–value storage [7] [1] native SQL implementation; Following the CAP Theorem, distributed SQL databases are "CP" or consistent and partition-tolerant. Algorithmically ...

  5. Comparison of relational database management systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_relational...

    Conversely, PostgreSQL has applied more of the specification implementing cross-table, cross-schema, and then left room for future cross-database functionality. MySQL aliases schema with database behind the scenes, such that CREATE SCHEMA and CREATE DATABASE are analogs. It can therefore be said that MySQL has implemented cross-database ...

  6. DATAllegro - Wikipedia

    en.wikipedia.org/wiki/DATAllegro

    SQL Server Parallel Data Warehouse (PDW) is the successor product to DATAllegro on Windows Server using a version of the SQL Server database engine. [ 3 ] See also

  7. Amazon Redshift - Wikipedia

    en.wikipedia.org/wiki/Amazon_Redshift

    Redshift uses parallel processing and compression to decrease command execution time. [4] Amazon Redshift is based on an older version of PostgreSQL 8.0.2, and Redshift has made changes to that version. [5] [6] An initial preview beta was released in November 2012 [7] and a full release was made available on February 15, 2013.

  8. Greenplum - Wikipedia

    en.wikipedia.org/wiki/Greenplum

    Segment nodes run one or more segments, which are modified PostgreSQL database instances and are assigned a content identifier. For each table the data is divided among the segment nodes based on the distribution column keys specified by the user in the data definition language. For each segment content identifier there is both a primary ...

  9. Michael Stonebraker - Wikipedia

    en.wikipedia.org/wiki/Michael_Stonebraker

    The new project was named POSTGRES (POST inGRES), [19] and was designed to add support for complex data types to database systems and improve end-to-end performance of data-intensive applications. Postgres provided an object relational programming model in which fields could be complex datatypes, and where users could register new types as well ...