Riga-based database platform Clusterpoint has secured a €1,25 million investment. The apparently oversubscribed funding round, which was backed by existing investors as well as new share holders, including major Baltic VC BaltCap and UK-based Imprimatur Capital, was announced late last February.
Clusterpoint is an scalable NoSQL database, enterprise search and cluster storage in one system; it’s a database software company with a proprietary solution for high-speed storage and large scale processing of XML and JSON data. Since its establishment back in 2006, the Clusterpoint team has grown and is now made up of a pretty hard-skinned lot of tech connoisseurs. Members include ex Google senior engineer Zigmars Rasscevskis (current CEO), MIT graduate and likewise former Google developer Janis Sermulins (Infrastructure Software Architect) as well as since last year, Peteris Janovskis, a man with 12 years of experience as Alliance & channel Director Central & East Europe for Oracle.
In short, the Clusterpoint database delivers real-time business information management in electronic document format; it can be used as a high-performance operational database for web and mobile database services requiring scalability, high-performance and strong security.
The Software enables the safe handling of 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.
For full tutorial on how to make the most out of Clusterpoint, see here. The first month of use is free. There are 4 billable criteria, based on:
- CPU Core Time – 0,07 Eur / hour
- Storage Space – 0,3 Eur / GB / month
- RAM – 12,5 Eur / GB /
- Outbound traffic – 0,004 Eur / GB / month
Orginally operating as an enterprise software vendor, since February 2015 Clusterpoint database became available as a cloud service (DBAAS). Database high-availability architecture blends secure OLTP transactions, fast full-text search and real-time big data analytics in the same code.