Plummeting RAM prices and the massive throughput requirements of big data make in-memory databases incredibly attractive. Processing enormous data sets in a fraction of the time it normally takes sounds like a dream come true, but in-memory technology is relatively untested, and some of the more extreme examples — such as SAP HANA — are a complete paradigm shift from traditional RDBMS products.
With technology so new, a complete rip-and-replace is reckless, but so is waiting for your competition to beat you to the punch.
In this webinar, our panel will address these topics:
- What are the various flavors of in-memory databases, and how do they differ from traditional DBMS products?
- What kinds of initial and long-term performance gains can in-memory adopters expect, and how can they benchmark those gains?
- Which workloads are the best candidates for migration to in-memory?
- How can businesses ensure the safety of their data during a transition to new platforms?
- Andrew Brust, research director, Gigaom Research
- David Loshin, principal consultant, corporate analyst and adviser, Knowledge Integrity
- Erich Schneider, SAP HANA Platform and Solutions Group, SAP
- Matthew Hayes, VP, SAP Business, Attunity
Register here to join Gigaom Research, special guest SAP and our sponsor Attunity for “In-memory databases here and now: how to migrate and what to expect,” a free analyst roundtable webinar on Wednesday, June 11, 2014, at 10:00 a.m. PT.