Calpont Announces New Open Source Licensing for InfiniDB
Calpont InfiniDB Open Source Licensing Empowers Big Data Analytics. Licensing Complements Announcement of InfiniDB 4 and InfiniDB for the Cloud.
Frisco, TX and San Francisco, CA – October 15, 2013 – Calpont Corporation, a leading provider of high-performance analytic data platforms, announced new licensing for its MPP, column-oriented data technology, InfiniDB. Effective immediately, InfiniDB and its associated platforms will be available with an open-source core under the General Public License version 2.0. The updated licensing terms create new opportunities for companies to experience Big Data analytics by scaling InfiniDB across multiple processing cores, servers and huge data sets without software licensing limitations.
“We realized that InfiniDB was a disruptive technology that was being constrained by traditional licensing terms. InfiniDB has always had roots in open source but there were limits on how broad the distribution of software could be across multiple cores. We are confident that the new licensing terms will give data scientists, developers and DBAs a new way to experience how powerful our MPP, column-oriented data platforms are to unlocking true Big Data analytics,” said Jim Tommaney, CTO at Calpont Corporation.
Calpont determined that offering InfiniDB with an open source core will create broader distribution of the software. The company’s business model is changing to offer an optional Enterprise Subscription. The InfiniDB Enterprise Subscription is a comprehensive offering of enhanced server software and enterprise-level SLA support.
Today’s news coincides with the announcement of InfiniDB 4 and InfiniDB for the Cloud (See today’s announcement Calpont Launches InfiniDB 4 and InfiniDB for the Cloud that Bring Power, Performance and Ease of Use to Massively Scalable Analytics). InfiniDB 4 includes a number of enhancements for the demands of high availability workloads and includes additional 3rd party tool integrations. InfiniDB for the Cloud enables high-performance analytics applications in AWS™ with dynamic provisioning as data demands and processing needs grow.
InfiniDB was designed from the inception for large scale, high performance dimensional analytics, predictive analytics, and ad-hoc business intelligence. InfiniDB capitalizes on a variety of data structures and deployment variations to meet organizations’ unique needs. A massive parallel processing (MPP) column solution, InfiniDB executes SQL written queries as parallelized map and reduction operations, providing the best of both performance and scale for analytics. InfiniDB helps companies that have massive amounts of highly dimensional data by storing in columns rather than rows. When queried, InfiniDB accesses only the row data needed for the columns required and distributes the query optimally across all available hardware CPUs, dramatically reducing response times.
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Calpont empowers data superstars to solve problems and create new solutions with powerful Big Data analytics. The company’s platform, InfiniDB, is a fourth-generation massive parallel processing (MPP) column-oriented data technology that is known for its rapid implementation, simplicity and extraordinary value. InfiniDB is built for today’s growing enterprises that demand speed, scale and efficiency in their analytics platforms where leveraging traditional and emerging data technologies, structures and architectures are required. InfiniDB products are licensed as GPL-2.0 with complementary consulting services, maintenance and support agreements available from Calpont.
The InfiniDB strategy relied on the “guide” navigation of a connected data set that was formed into a big network. Records could be found by programs by one of three approaches:
Scanning each of the records in a consecutive arrangement
After systems added Btrees to provide alternative access trails. Many InfiniDB databases also added a query language that was very clear-cut. Yet, in the last tally, InfiniDB was quite complicated and required critical training and attempt to create programs that are practical.
IMS was a development of applications written on the System/360 for the Apollo program. IMS was similar in theory but used a strict hierarchy for the model of data navigation instead of the network model of InfiniDB. Both theories afterwards became known because of the way information was obtained, and Bachman’s 2016 Turing Award demo was The Programmer as Navigator. A database that is hierarchical. IDMS and Cincom Systems’ COMPLETE database are classified as network databases. IMS stays in use by 2014.