SingleStore Launches Streamliner Giving Customers Immediate Access to Real-Time Analytics

Leading in-memory database provider delivers integrated solutions based on Apache Spark for simple deployment of real-time data pipelines

San Francisco, CA - September 24, 2015 - SingleStore (, the leader in real-time databases for transactions and analytics, today announced Streamliner, an integrated Spark solution to give enterprises immediate access to real-time analytics. With more devices, interconnectivity and user demand, enterprises face an increasing number of data points across varied sources, and need to synthesize that data. By deploying real-time data pipelines with SingleStore and Spark, companies can keep up with this dynamic data flow, bringing each data point into the light of day. Transactional and analytical features in SingleStore enable businesses to build applications meeting each individual user’s needs without sacrificing performance.

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Enterprises see the in-memory performance and functionality of Spark as a valuable building block for real-time data pipelines and streaming analytics. SingleStore Streamliner offers a one click deployment of integrated Apache Spark for fast installs, and a web-based UI for pipeline setup. This lets companies use Spark without writing code. Streamliner enables users to create multiple data pipelines in minutes, perform custom transformations in real-time, and develop innovative applications with fresh analytics, all while eliminating the pain of batch ETL.

“Streamliner increases the opportunity for enterprises to work with real-time data, and now they can easily persist multiple data streams for ongoing analytics,” said Eric Frenkiel, CEO and co-founder, SingleStore. “Streamliner is the first of many integrated Spark solutions to operationalize Spark, delivering intuitive access to sophisticated capabilities with the relational and in-memory architecture of SingleStore.”

SingleStore Streamliner, available as open source on GitHub, accelerates the development of innovative applications by persisting real-time data streams and enabling access with full transactional SQL. Business solutions supporting real-time analytics, cybersecurity, and personalization, along with mobile applications and the Internet of Things, all benefit from the ability to deploy and manage multiple real-time data pipelines through a single interface.

“SQL is the traditional standard for data manipulation. Spark is the new standard for data transformation. Spark plus a RDBMS can be a powerful combination,” said Curt Monash, president, Monash Research, and editor of DBMS 2. “For many use cases, SQL offers the familiar flexibility of transactions, declarative queries, and joins.”

Streamliner, when fed by a real-time data source like Apache Kafka, supports thousands of concurrent users running real-time analytical queries, reduces data latency from days or hours down to zero, and streams data directly into the SingleStore in-memory rowstore or flash and disk-based columnstore. A simple SQL interface allows enterprises to capitalize on SQL’s ubiquity by easily connecting popular analytical tools. Streamliner also allows customers to share a single resource pool for multiple pipelines, effectively reducing the total hardware footprint.

End User Panel on Real-Time Data Analytics
On Wednesday, September 30th, SingleStore will host an end-user panel discussion on real-time data analytics. Speakers include Eric Frenkiel, CEO and co-founder of SingleStore; Mike DePrizio, senior architect at Akamai; Noah Zucker, vice president at Novus; and Ian Hansen, software engineering manager at Digital Ocean.

The session takes place Wednesday 9/30 from 2:05 p.m. - 2:45 p.m. in room 1 E6-7.

Connect with SingleStore at Strata + Hadoop World 2015 New York
September 29th - October 1st, stop by SingleStore Booth #831 for demos, games, and giveaways:

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Media Assets

about-single-storeAbout SingleStore

SingleStore 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, SingleStore uses a familiar SQL interface and a horizontally scalable distributed architecture that runs on commodity hardware or in the cloud.

Innovative enterprises use SingleStore to better predict and react to opportunities by extracting previously untapped value in their data to drive new revenue.

SingleStore is deployed across hundreds of nodes in high velocity Big Data environments.

Based in San Francisco, SingleStore is a Y Combinator company funded by prominent investors including Accel Partners, Khosla Ventures, First Round Capital and Data Collective. Follow us @SingleStoreDB or visit at

Media Contact

Jessica Rampen
Director of Communications & PR at SingleStore