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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]
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]
Each system has at least some features of an object–relational database; they vary widely in their completeness and the approaches taken. The following tables compare general and technical information; please see the individual products' articles for further information.
Yes - Import Database from server/ODBC Yes - Export SQL No No MySQL Workbench: Yes Yes Yes Yes - CSV, HTML, JSON, MS Excel, SQL INSERTS, Tab-separated, XML: Yes - CSV, HTML, JSON, MS Excel, SQL INSERTS, Tab-separated, XML: Yes No Oracle SQL Developer: Yes Yes Yes Yes Yes Yes Yes Yes pgAdmin: Yes Yes No CSV, Text, or binary CSV, text, HTML, XML ...
List of relational database management systems; Comparison of object–relational database management systems; Comparison of database administration tools; Object database – some of which have relational (SQL/ODBC) interfaces. IBM Business System 12 – an historical RDBMS and related query language.
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 ...
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]
SQL support Datatypes License Description Caché: 2017.2.1 Caché ObjectScript (dynamic language), Basic. Java/.NET object mapping supported. SQL subset. Object notation allowed. Supports embedded SQL, dynamic SQL and xDBC access. Proprietary: MUMPS ancestry. Includes built-in support for XML, Web/AJAX and an EMB system called Ensemble.