Clusterpoint NoSQL Database Server: Simplify database design, management and search!Download FREE Software: TEST-DRIVE scalable NoSQL DBMS server software with fast full text search ranking for relevance, clustering in cloud computing architecture, database replication into multiple copiesResell softwareCommercially supported full text seach database software nosql scalable data store platform with enterprise search

Corporate Profile

Clusterpoint Limited is a privately held European technology company developing and supporting its own, designed from ground-zero, database software product: Clusterpoint data base management system (Clusterpoint DBMS) and related application software. 

The core product is Clusterpoint Server.  Clusterpoint Server is an originally designed and written in C/C++ database platform software that represents high-performance cloud computing database technology with a novel, ranked indexing method that is automatically applied  to the full database content.  It enables customers to simplify database design, apply agile database management methods and effortlessly scale out big data in clusters nearly without performance loss, maintaining great database search experience.

Technology allows customers to start building linearly scalable applications developing software only once, that works with Clusterpoint scalable and entirely searchable database platform software independently from the underlying clustering architecture of Clusterpoint database storage. 

Technically it is an XML- or JSON- only key-based NoSQL data store platform, engineered as a high-speed client-server database software with multi-master, no-single-point-of-failure cluster architecture and supplied with open web standards based API.   Technology is delivering fast, highly accurate and relevant database search and is natively scaling out in cluster architecture (public, private or hybrid cloud architecture).  Please see Customer Advantages.

Clusterpoint database products are licensed in classic-enterprise way or as SAAS (software as a service in the cloud infrastructure).  It is being supported by our company and our partners, please see Partnership Programs.  New partners in new geographies are welcome!

Our company is also offering services, for example, we can help our customers to install, prototype and test-drive databases of massive size using such public cloud services as Amazon AWS / EC2 so that our customers can start enjoying Clusterpoint database platform software benefits with minimal initial resources required.    Please see Services.

For introduction we can provide a FREE sample Clusterpoint storage on Clusterpoint DEMO servers for customer own test-driving and performance evaluation, that can be accessed remotely over the Internet using just our assigned secure login name and open Clusterpoint API. Clusterpoint API is very similar to that of Amazon SimpleDB API and generally no more than a couple of hours are needed to learn Clusterpoint API and start using it in existing customer applications.   Our FREE Demo option requires nearly zero deployment efforts from our customers to test-drive functionality, performance and scalability of Clusterpoint DBMS.
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Founders and History

The company was founded in 2006 by a group of experienced database software engineers and C/C++ developers (please see Team) and a seed venture capital company Imprimatur Capital (London, United Kingdom, please see Investors).  After several years of initial software product development, building and testing in customer production environments, to prove its reliability and stability, the company now has a growing number of paying commercial customers who licenses Clusterpoint database technology and pays software maintenance.

Actually Clusterpoint founder and CEO Gints Ernestsons have started to think and play with novel R&D concepts of radically different database technology as far back as in 90ies, researching and implementing hybrid NOSQL database technologies when term 'nosql' was even not yet concepted.  Current Clusterpoint team of founding developers lead by Gints Ernestsons have started to work together on those design concepts in 2001, over the following years acquiring knowledge and engineering skills how to develop a full-fledged DBMS technology that would be designed for native clustering and would use modest computing resources.  This engineering know-how was used by founders team to establish their own venture in 2006 and then implement Clusterpoint DBMS into robust C/C++ source code, that went on market in its product Version 1.0 in 2008.  Today Clusterpoint DBMS product is a solid and reliable systems engineering accomplishment of the founders team, that is a result of nearly 80-man years for cohesive founders teamwork developing the concept.  The product have also undergone many years of testing and bug-fixing, and the product source code is being constantly improved based on daily feedback from tens of our customer accounts.  The product's latest stable version is 2.1.
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Company Name

Clusterpoint database was engineered for SEARCH.  Most legacy SQL database technologies, sadly, left that key database user functionality underdeveloped at best, usually requiring complex enterprise search tools to do it right.  We believe that Clusterpoint technology elegantly solves any fast and relevant search problem in large databases, using our scalable and ranked indexing method designed for clustering: Information Ranking

This unique index ranking mechanism built into the Clusterpoint database platform core software enables to instantly bring the most relevant database search results upfront, sorted, positioned and grouped according to the customer own customizable data sorting rules, even if end-users were using just simple free-format Internet-style search queries (ad hoc search).  Ranked full database content index is crucial to provide great database usability features for modern, interactive web application model combining structured and unstructured access needs.  It makes it remarkably easy to explore, navigate and search large databases productively both for humans and machines. It can ultimately deliver the greatest search experience to customers, excelling at both fast and relevant (meaningful) search, so that our customers can efficiently solve information overload problem when querying databases with billions of data objects and getting right away to the most important results.

Our software is also technically architected in such a way, that whatever data item needs to be found among billions of customer specific XML- or JSON- data objects, even if distributed among large number of so called "whimpy" servers networked in a clustered architecture (cloud), in Clusterpoint database will be found in guaranteed sub-second time, independently of the total database size and number of servers in cluster architecture.

Clusterpoint DBMS was designed for native, scalable database search and clustering. 

Hence the name of company: CLUSTERPOINT back

How to Contact Us

Please go to section Contactsback