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2. Bigtable - Wikipedia

   en.wikipedia.org/wiki/Bigtable

   Bigtable development began in 2004. [1] It is now used by a number of Google applications, such as Google Analytics, [2] web indexing, [3] MapReduce, which is often used for generating and modifying data stored in Bigtable, [4] Google Maps, [5] Google Books search, "My Search History", Google Earth, Blogger.com, Google Code hosting, YouTube, [6] and Gmail. [7]

3. 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.

4. BigQuery - Wikipedia

   en.wikipedia.org/wiki/BigQuery

   Integration - BigQuery can be used from Google Apps Script [8] (e.g. as a bound script in Google Docs), or any language that can work with its REST API or client libraries. [9] Access control - Share datasets with arbitrary individuals, groups, or the world. Machine learning - Create and execute machine learning models using SQL queries.

5. 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.

6. Category:Cloud databases - Wikipedia

   en.wikipedia.org/wiki/Category:Cloud_databases

   Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more

7. Tables (Google) - Wikipedia

   en.wikipedia.org/wiki/Tables_(Google)

   Tables is not part of the Google Drive or Google Workspace service. In June of 2021, it was announced that the Area 120 experiment was a success and that Google Cloud "has committed to investing in this product area long-term". [8] In June of 2023, features available in Tables became generally available in AppSheet as databases. [9]