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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]
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.
Google Cloud Platform is a part [7] of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as Google Workspace (G Suite), enterprise versions of Android and ChromeOS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.
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.
JanusGraph is an open source, distributed graph database under The Linux Foundation. [3] JanusGraph is available under the Apache License 2.0. The project is supported by IBM, Google, Hortonworks and Grakn Labs. [4] JanusGraph supports various storage backends (Apache Cassandra, Apache HBase, Google Cloud Bigtable, Oracle BerkeleyDB, ScyllaDB).
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]
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