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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.
Bigtable: Apache 2.0: Information Management System IBM IMS aka DB1 Key-value. Multi-level Yes Yes Yes, with HALDB Yes, with IMS TM Unknown Assembler: IBM since 1966 Proprietary: Infinispan: Key-value Yes Yes Yes Yes Yes Java Red Hat Apache 2.0: Memcached: Key-value No No No Partial Only supports CAS (Check And Set - or Compare And Swap) [15 ...
Google Cloud Platform is a part [8] 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.
Google announced that GeoMesa supported the Google Cloud Bigtable [3] hosted NoSQL service in their release blog post in May 2015. GeoMesa also supports Bigtable-derivative implementations Apache Accumulo and Apache HBase. [4]
Google App Engine (also referred to as GAE or App Engine) is a cloud computing platform used as a service for developing and hosting web applications. Applications are sandboxed and run across multiple Google-managed servers. [ 2 ]
DataNucleus Access Platform is a fully compliant ... map-based datastores (HBase, Google's Bigtable, Apache Cassandra ... (cloud offering from ...
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]
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