Clusterpoint, a NoSQL database vendor providing Database-As-A-Service (DBAAS), 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 infrastructure so businesses can process and analyze large amounts of data in real-time at a reasonable cost.
Because data sets are much bigger today than what can be stored in 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.
Clusterpoint 4 solves these data challenge by unifying computational power and data. We have built a distributed cloud computer that can share data among multiple computational nodes and execute code on those nodes next to the data. Furthermore, because Clusterpoint 4 was designed as a complete relational database replacement for businesses today, we chose to build an API between the client and Clusterpoint on JavaScript, a universal non-proprietary language that we now utilize for data retrieval and data transformation. This really makes Clusterpoint a computing engine that can not only store data, but process data and run arbitrary computations.
In fact, we built the Clusterpoint 4 Computing Engine on top of our Clusterpoint 3, creating a distributed document-oriented database that supports persisting data structures while building efficient numeric, full-text and geospatial indices.
To be considered a real replacement for relational databases, Clusterpoint 4 supports ACID-compliant multi-document transactions and rich computational model based on JavaScript — two features often ignored by other NoSQL databases on the market today. For many use cases it is important to work on multiple data objects within one transaction and guarantee immediate consistency. Another important aspect of our database is its computational capabilities. The Clusterpoint 4 API is based on the concept that a database needs to allow arbitrary computation done on the data right inside of the database. Thus we allow various stages of retrieval to use arbitrary JavaScript code to transform the data. Also JavaScript code accesses indices instead of raw objects, thus providing high efficiency.
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.
While Clusterpoint 4 database delivers instant scalability and massive distributed computing power in the form of a cloud-based database, developers can opt for an onpremise solution. Utilizing the Clusterpoint Cloud, users you can scale instantly and get on-demand computational resources at 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.
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