Clusterpoint, a database vendor providing Database-As-A-Service (DBAAS), today announced the availability of Clusterpoint 4, an evolution of its database software now becoming a computing engine. This unique platform combines an instantly scalable document-oriented database and computing so businesses can process and analyze large amounts of data in real-time at a reasonable cost
Because datasets are much bigger today than what can be stored in the memory of a single server, businesses are looking beyond traditional relational databases, which no longer provide the right computational platform for today’s “big data” computing needs. Moreover, businesses today want to do more than access information in a static format; they want to analyze and transform their data to gain valuable insights about their business quickly and cost effectively.
The Clusterpoint 4 Computing Engine was built on top of Clusterpoint 3, creating a distributed document-oriented database that supports persisting data structures while building efficient numeric, full-text and geospatial indices.
“With Clusterpoint 4, we want to reduce complexity and costs of existing IT infrastructure and enable real-time processing of data on a massive scale. We want our users, like developers, to import their raw data and then leverage the power of our computing engine to transform that data into something that has business benefits, exactly when and how they want it,” said Zigmars Raascevskis, CEO of Clusterpoint.
Utilizing the Clusterpoint Cloud, users can scale instantly and get on-demand computational resources at a millisecond granularity. In addition, businesses benefit from a unique pricing model -- a true pay-per-use model that is disrupting the tiered pricing model of today’s traditional Database-As-A-Service (DBAAS) offerings — which no other DBAAS company provides.
For more detailed information about Clusterpoint 4, please visit their blog.