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The Need for Speed & Scale: A Database for Real-Time Analytics

Eric Frenkiel (MemSQL)
Ballroom H
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Memory may be the new disk, but that doesn’t mean you should abandon your Enterprise Data Warehouse (EDW). Long-term storage and analysis is valuable for many companies, but data warehouses optimized for long-term storage often lack the transactional speed and processing ability for real-time analysis. Even those capable of fast analytical processing require batch loading and painful ETL processes, which means you’re still waiting for results.

Tiered in-memory databases are now emerging to provide faster and easier access to both real-time and historical data. By combining the performance of an in-memory row store with the extended data lifecycle of a flash-optimized columnar store, organizations can tier their architecture based on data volume. As “real-time” data ages and becomes “historical,” a tiered approach allows the transfer of data from memory to flash or disk for long-term storage and historical analysis— without ETL latency.

In this session, MemSQL CEO Eric Frenkiel will discuss the benefits for companies that augment their existing information architecture with a versatile real-time database platform to handle high volume and velocity transactional and analytical workloads.

This session is sponsored by MemSQL

Photo of Eric Frenkiel

Eric Frenkiel


Eric Frenkiel co-founded MemSQL and has served as CEO since inception. Before MemSQL, Eric worked at Facebook on partnership development. He has worked in various engineering and sales engineering capacities at both consumer and enterprise startups. Eric is a graduate of Stanford University’s School of Engineering. In 2011 and 2012, Eric was named to Forbes’ 30 under 30 list of technology innovators.