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  2. Google Cloud Datastore - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Datastore

    Google Cloud Datastore (Cloud Datastore) is a highly scalable, fully managed NoSQL database service offered by Google on the Google Cloud Platform. [1] Cloud Datastore is built upon Google's Bigtable and Megastore technology. [2] Google Cloud Datastore allows the user to create databases either in Native or Datastore Mode. Native Mode is ...

  3. BigQuery - Wikipedia

    en.wikipedia.org/wiki/BigQuery

    BigQuery is a managed, serverless data warehouse product by Google, offering scalable analysis over large quantities of data. It is a Platform as a Service that supports querying using a dialect of SQL. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011. [1]

  4. Google Cloud Platform - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Platform

    Cloud Spanner – Horizontally scalable, strongly consistent, relational database service. [17] Cloud Datastore – NoSQL database for web and mobile applications. [18] Persistent Disk – Block storage for Compute Engine virtual machines. [19] Cloud Memorystore – Managed in-memory data store based on Redis and Memcached. [20]

  5. Wide-column store - Wikipedia

    en.wikipedia.org/wiki/Wide-column_store

    It uses tables, rows, and columns, but unlike a relational database, the names and format of the columns can vary from row to row in the same table. A wide-column store can be interpreted as a two-dimensional key–value store. [1] Google's Bigtable is one of the prototypical examples of a wide-column store. [2]

  6. Cloud database - Wikipedia

    en.wikipedia.org/wiki/Cloud_database

    A cloud database is a database that typically runs on a cloud computing platform and access to the database is provided as-a-service. There are two common deployment models: users can run databases on the cloud independently, using a virtual machine image, or they can purchase access to a database service, maintained by a cloud database provider.

  7. Dremel (software) - Wikipedia

    en.wikipedia.org/wiki/Dremel_(software)

    Dremel is a distributed system developed at Google for interactively querying large datasets.. Dremel is the query engine used in Google's BigQuery service. [1]Dremel is the inspiration for Apache Drill, [2] Apache Impala, [3] and Dremio, [4] an Apache licensed platform that includes a distributed SQL execution engine.

  8. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    Relational (SQL, ODBC, JDBC) in-memory database system originally developed for use in SCADA and embedded systems, but used in a variety of other applications including financial systems. Supports data durability via snapshots and journal logging, and high availability via a hot-standby. First released in 1993; version 8.7 released in March ...

  9. Google App Engine - Wikipedia

    en.wikipedia.org/wiki/Google_App_Engine

    SDK version 1.2.2 added support for bulk downloads of data using Python. [9] App Engine's integrated Google Cloud Datastore database has a SQL-like syntax called "GQL" (Google Query Language). GQL does not support the join statement. [10] Instead, one-to-many and many-to-many relationships can be accomplished using ReferenceProperty(). [11]