SAN FRANCISCO, CA--(Marketwired - Jan 12, 2015) - MemSQL, a leading provider of in-memory database solutions, today announced that it has been identified as a representative vendor in the Gartner "Market Guide for In-Memory DBMS" report. MemSQL was named as one of the most visible in IMDBMS vendors, evaluated for its primary use case, Operational HTAP. MemSQL is making the report available from its website at www.memsql.com/gartner.
"From the beginning, we built MemSQL to serve the needs of the modern enterprise, specifically the ability to merge transactions and analytics into a single database system," said Eric Frenkiel, CEO and co-founder, MemSQL. "We are thrilled that Gartner has identified this segment as hybrid transaction and analytical processing, or HTAP for short," he continued. "We believe this real-time ability to aggregate and report on real-time data has helped our customers separate themselves from the pack," he added.
Gartner predicts "that the IMDBMS market momentum will accelerate through 2015 and 2016," noted Roxane Edjlali, Research Director, Ehtisham Zaidi, Contributing Analyst and Donald Feinberg, vice president and Distinguished Analyst at Gartner in the report, "Market Guide for In-Memory DBMS." They continued, "The growing number of high performance, response-time critical and low-latency use cases (such as real-time repricing, power grid rerouting, logistics optimization), which are fast becoming vital for better business insight, require faster database querying, concurrency of access and faster transactional and analytical processing. IMDBMSs provide a potential solution to all these challenging use cases, thereby accelerating its adoption."
Gartner is "seeing the emergence of a new class of In-Memory Computing solutions that we call Hybrid Transactional and Analytical Processing (HTAP), supporting both analytical and transactional workloads." In a complementary report titled, "Hybrid Transaction/Analytical Processing Will Foster Opportunities for Dramatic Business Innovation," by analysts Massimo Pezzini, Donald Feinberg, Nigel Rayner, and Roxane Edjlali, Gartner identified how HTAP architectures address the four major drawbacks of traditional approaches.
1. In HTAP, data doesn't need to move from operational databases to separated data warehouses/data marts to support analytics. This addresses architectural and technical complexity.
2. The transactional data of HTAP applications is readily available for analytics when created. This addresses analytic latency.
3. In HTAP, drill-down from analytic aggregates always points to the "fresh" HTAP application data. This addresses synchronization between separate analytical and transactional data storage.
4. In HTAP, the need to create multiple copies of the same data is eliminated (or at least reduced). This addresses data duplication.
In the "Market Guide for In-Memory DBMS" report, analysts Roxane Edjlali, Ehtisham Zaidi, Donald Feinberg state that, "HTAP will enable business leaders to perform, in the context of operational processes, much more advanced and sophisticated real-time analysis of their business data than with traditional architectures."
Readers interested in the full Gartner Report, "Market Guide for In-Memory DBMS", may visit www.memsql.com/gartner to view a copy.
About MemSQL
MemSQL enables companies to merge real-time and historical Big Data analytics with its distributed in-memory database. MemSQL instantly accesses data through a familiar SQL interface on a horizontally scalable architecture using commodity hardware across on-premises or cloud deployments.
Innovative enterprises with data intensive environments use MemSQL to accelerate insights, extract previously untapped value in their data, and drive new revenue opportunities. Based in San Francisco, MemSQL is a Y Combinator company funded by Accel Partners, Khosla Ventures, First Round Capital, and Data Collective.
Follow MemSQL @memsql or visit at www.memsql.com
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Gartner Hybrid Transaction/Analytical Processing Will Foster Opportunities for Dramatic Business Innovation
By Analyst(s): Massimo Pezzini, Donald Feinberg, Nigel Rayner, Roxane Edjlali
Published: 28 January 2014
Gartner Market Guide for In-Memory DBMS
By Analyst(s): Roxane Edjlali, Ehtisham Zaidi, Donald Feinberg
Published: 9 December 2014