Outperform SQL by 100,000 Times

With Clusterpoint you can make lightning fast custom search queries with complex data ordering and grouping requirements, where search is performed across a distributed cluster database in a very simple querying format: as free-format Internet-style ad hoc search query using any known content within a database.

Outperform legacy SQL systems by a factor of 100 (with disk access) to 100,000 times (with RAM-only in-memory database), achieving sub-second response times for your Web application. Please see more in section Search Simplicity.

Clusterpoint enables to store and manage all of your data in any custom XML or JSON format, effectively search it Internet-style, even with simple search keywords, and still get the most relevant data upfront (on the first results page in web apps) at ultra-fast sub-second speed - independently of the total database size and without performance loss characteristic to SQL based systems when databases grow big.

This ad hoc search is sometimes also refered to as full text search, however, full text search is just a subset of ad hoc search. By ad hoc search we mean that there is no need to program special search forms, any know content can be used to query Clusterpoint database.

Clusterpoint Server built-in search engine handles all the search across such a simplified and de-normalized structure database without performance loss, characteristic to legacy SQL systems, when database size grows big. Fast access and search to such a database information is guaranteed through Information Ranking, a scalable high-speed mechanism of our database indexing facility that uses pre-sored ranked index and that works in cluster storage architecture.