SAN FRANCISCO, CA — (Marketwired) — 09/24/13 — MemSQL, the leader in real-time analytics, has publicized to in-memory database announcements like those made by Oracle. In its comments, MemSQL lauds the attempts to provide customers with 100-times faster queries than those from disk-based storage (the very premise of an in-memory database), but questions the complexity and cost associated with these new technologies.
MemSQL CEO Eric Frenkiel and CTO Nikita Shamgunov are available to discuss the shortcomings of new product offerings and the broader implications in-memory technology has on the database market. In particular, they point out that:
Optimized versions of existing database technologies can be cost-prohibitive. For example, Oracle says that its new offering, reported to be an optimized version of its existing Oracle 12c database, is priced at $3 million for 32-terabytes (TBs) of memory. Yet 32 TBs is a modest amount of memory that many companies will quickly exceed in the age of Big Data. Translated, that means customers buy into the faster in-memory database for $3 million — but will very likely outgrow the solution quickly.
There is a reason that IT departments are increasingly scaling horizontally across commoditized hardware. This allows them to affordably scale out as data volumes grow without having to invest in expensive hardware upgrades. This is an incredibly attractive value proposition to IT and one that in-memory databases based on legacy technology cannot match.
In order to realize the power of real-time, Big Data analytics, companies need to fuse structured, semi-structured and unstructured data into a single database. Without delivering a consolidated view across these different data types, including standard enterprise and social media data, newly announced in-memory databases are playing catch-up with features that the market is demanding today.
Opportunity to speak with MemSQL executives regarding recent in-memory database announcements
MemSQL CEO Eric Frenkiel and CTO Nikita Shamgunov. Prior to co-founding MemSQL, Eric worked at Facebook on partnership development. He was also named to Forbes- 30 under 30 list of technology innovators in 2011 and 2012. Before co-founding MemSQL, Nikita worked on core infrastructure systems at Facebook and served as a distinguished senior database engineer at Microsoft SQL Server.
Anytime during Oracle OpenWorld
Over the phone or at booth 134, Moscone South at Oracle OpenWorld
Contact Carlo Tapia at 209/406-6867 or to schedule an appointment
MemSQL is the leader in real-time Big Data analytics, empowering organizations to make data-driven decisions, better engage customers, and gain a competitive advantage. The in-memory distributed database at the heart of MemSQL-s real-time analytics platform is proven in production environments across hundreds of nodes in the most high-velocity Big Data environments in the world. Based in San Francisco, MemSQL is a Y Combinator company funded by prominent venture capitalists and angel investors, including First Round Capital and New Enterprise Associates. For more information, please visit .
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