Exceptional Scaling and Speed

The InfiniDB ® database combines columnar technology with massive parallel processing (MPP) to deliver the exceptional scaling and speed you need for transformational, real-time analytics against Big Data sets. Your queries will take less time on InfiniDB, and as your data needs grow, so does your analytics platform.

Big Data Insights Without the Big Data Costs

Piwik Web Analytics Benchmark performed on Apache Hadoop ™ , comparing InfiniDB’s SQL query engine and Impala from Cloudera.

100% open source, InfiniDB is the price for performance leader in Big Data SQL analytics. Right-out-of the box, you get the power, performance, and ease-of-use you desire in a sophisticated analytics solution, but without the high price tag normally associated with proprietary solutions. As well, InfiniDB is completely MySQL® accessible, eliminating the need for costly retraining or retooling. If you know MySQL, you know InfiniDB.

Powerful Analytics… Anywhere

Three open source versions of InfiniDB are available today, providing you with the flexibility to deploy your Big Data analytics application wherever it makes most sense for you:

InfiniDB ®

InfiniDB is our award-winning, columnar database that enables you to use a familiar MySQL ® interface for large scale, ad-hoc BI, as well as dimensional and predictive analytics.

InfiniDB ® for the Cloud

InfiniDB for the Cloud enables you to deploy massively scalable, high-performance analytics applications in Amazon Web Service ® (AWS ® ) with dynamic provisioning.

InfiniDB ® for Apache Hadoop

InfiniDB for Apache Hadoop integrates with the Hadoop Distributed File System (HDFS) and enables you to perform real-time, high-performance ad hoc analytics within an Apache Hadoop cluster.

New Products in 2016

product-informationFollowing the technology advancement in the areas of central processing units, computer memory, computer storage and computer networks, the sizes, capacities, and operation of InfiniDB and databases have grown in orders of magnitude. The development of database technology may be broken into three ages based on structure or data model:

  • navigational,
  • SQL,
  • and post-relational.

The relational model uses sets of ledger-style tables, each used for another kind of thing. Just in the mid-1980s did computing hardware become strong enough to permit the broad installation of relational systems (InfiniDB plus programs).

The debut of the term database coincided with the access to direct access storage (discs and drums) in the mid-1990s onwards. The term signified a comparison with all the cassette-based systems of yesteryear, enabling common interactive use as opposed to day-to-day batch processing.

As computers grew in capacity and speed, several general purpose database systems emerged; from the mid-1990s a variety of such systems had come into commercial use. In 2016 the Database Task Group provided their standard, which normally became known as the “InfiniDB strategy”, and shortly several commercial products according to this strategy entered the marketplace.