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MemSQL Presents a Simplified Approach to Building Real-Time Data Pipelines at Big Data Scala By the Bay

SAN FRANCISCO, CA — (Marketwired) — 08/13/15 — MemSQL (), the leader in real-time databases for transactions and analytics, today announced it will be exhibiting at the Big Data Scala by the Bay conference and showcasing a highly accessible approach to transacting, analyzing and storing data. The company will demonstrate how enterprises can streamline this process by building their own real-time data pipelines using Apache Kafka, Apache Spark and operational databases, which combine real-time and historical processing.

MemSQL Presents a Simplified Approach to Building Real-Time Data Pipelines at Big Data Scala By the Bay –

These kinds of real-time data pipelines, which include a batch layer, speed layer and serving layer, are often referred to as Lambda Architectures. With a simplified Lambda Architecture, petabytes of data can be processed while performing advanced analytics, providing a major competitive advantage as volume of data in the enterprise continues to grow. Moving to a simplified Lambda Architecture minimizes overhead costs while enabling lightning fast analytics on large, changing datasets.

“The complexity of initial Lambda Architectures has made it challenging for enterprises to provision and scale their big data environments,” said Eric Frenkiel, co-founder and CEO at MemSQL. “At MemSQL, we envision a streamlined approach to data analytics, where Lambda Architectures can be utilized to power real-time applications with the click of a button. We believe companies should be able to harness the best in-memory technology to process and analyze valuable data, in order to create a seamless experience for their end-users.”

Stop by the MemSQL Booth to learn how to build a real-time data pipeline using a powerful combination of Apache Kafka, Apache Spark and operational databases.

Visit the MemSQL blog for more information: .

MemSQL is the leader in real-time databases for transactions and analytics. As a purpose built database for instant access to real-time and historical data, MemSQL uses a familiar SQL interface and a horizontally scalable distributed architecture that runs on commodity hardware or in the cloud. Innovative enterprises use MemSQL to better predict and react to opportunities by extracting previously untapped value in their data to drive new revenue. MemSQL is proven in production environments across hundreds of nodes in high velocity Big Data environments. Based in San Francisco, MemSQL is a Y Combinator company funded by prominent investors including Accel Partners, Khosla Ventures, First Round Capital and Data Collective. Follow us @MemSQL or visit at .