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Clusterpoint is a European software technology company developing and supporting Clusterpoint database management system platform. Company was founded by software engineers. Company is venture capital backed. Clusterpoint is a schema-free document database that removes complexity, scalability problems and performance limitations of relational database architecture. Clusterpoint database eliminates customer integration efforts among database, search and analytics platforms. Clusterpoint database replaces integrated multi-platform solutions with a single-platform and one-API solution, typically, where SQL RDBMS data is used in combination with an enterprise search engine to address performance and scalability needs of web and mobile applications, or where Big data and analytics tools such as Hadoop might be needed due to sheer volume of data or large computing workloads. The first version of the Clusterpoint database was released in 2006. The most recent Clusterpoint version 4 includes JavaScript computing engine and JS/SQL query language, it was released in October, 2015. Clusterpoint database is a document-oriented database server platform for storage and processing of XML and JSON data in a distributed fashion on large clusters of commodity hardware. Database architecture blends ACID-compliant OLTP transactions, full-text search and analytics in the same code, delivering high availability, fault-tolerance, data replication and security. Clusterpoint database enables to perform transactions in a distributed document database model in the same way as in a SQL database. Users can perform secure real-time updates, free text search, analytical SQL querying and reporting at high velocity in very large distributed databases containing XML or JSON document type data. Transactions are implemented without database consistency issues plaguing most of NoSQL databases and can safely run at high-performance speed previously available only with relational databases. Real time Big data analytics, replication, loadsharing and high-availability are standard features of Clusterpoint database software platform. Clusterpoint database enables web-style free text search with natural language keywords and programmable relevance sorting of results. Constant and predictable search response time with latency in milliseconds and high quality of search results are achieved using policy-based inverted indexation and unique relevance ranking method. Clusterpoint database version 4 supports JS/SQL query language. Classic SQL queries can be combined with free text search and with custom distributed computing functions written in JavaScript, executed in a single REST API call. For most of its history Clusterpoint was servicing business customers as an enterprise software vendor. In January 2015 Clusterpoint changed the licensing policy to free software license version. From February 2015 Clusterpoint database version 3 is also available as a cloud service (DBAAS). The latest Clusterpoint database production version is 4.0, released in October 8, 2015. ==Use cases== Clusterpoint database delivers real-time business information management in electronic XML or JSON document format. It can be used as a high-performance operational database for web and mobile database services requiring scalability, fast speed and strong security. Software enables to safely handle financial, billing, security, medical, travel, information services, e-commerce, government and municipal open data and other data stored in electronic document data format that uses industry standard XML and JSON markup. Generic database use cases can also be where flexible XML or JSON document data model commonly fits best: processing mix of variable data, including structured data, unstructured data (textual), semi-structured data and blobs such as images, voice, video files. Software can be used for computing tasks requiring low millisecond-range latency data processing services in distributed databases, for instance, to feed data at high speed to interactive NoSQL visualizations, Big data online analytics and safe reporting in large databases. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Clusterpoint」の詳細全文を読む スポンサード リンク
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