Clusterpoint

Clusterpoint is a schema-free document database.

Examples are 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.

General features

• Data is managed in open, cross-platform, industry-standard XML or JSON format using open API, for instance, Python API or JavaScript Node.js API
• Data structure agnostic and type-rich database, handles variable data structure XML or JSON documents in a single database. Supports unstructured textual data, dates, numbers, meta-data (all XML and JSON types)
• Cross-platform support: binaries are available for Linux, FreeBSD, Mac OS X and Windows. Clusterpoint database software can be compiled on other operating systems.
• Multi-master cluster software architecture: any cluster node can serve as a master and run the management application
• Horizontal database scalability: scales out from a single server to few thousands of servers networked into a cluster infrastructure

• Clusterpoint DBMS: Clustered NoSQL database, which uses the approach of multiple server system to spread load and increase performance. Clusterpoint database facilitates high parallelism of computing and distribution of data.
• GOL: Big Data SIEM Analytics tool from Clusterpark , Log, Events and Security Records Search and Analytics.
• DigiBrowser: Quick SQL denormalization into NoSQL database , imports multi-table SQL database into one Clusterpoint database using automagic denormalization.
• NTSS: Network Traffic Surveillance System for Lawful Intercept , High-speed capture, store, search and analysis of all Internet traffic for the corporate network.