San Francisco, CA - October 1, 2015 - SingleStore (www.singlestore.com), the leader in real-time databases for transactions and analytics, today announced it will highlight easy deployment of real-time data pipelines with SingleStore Streamliner at Gartner Symposium/ITxpo in Orlando, FL on October 4-8, 2015. Streamliner, available as open source on GitHub, is an integrated Apache Spark solution accelerating the development of innovative applications with real-time data analytics.
SingleStore to Showcase Building Real-Time Data Pipelines at Gartner Symposium/ITxpo - Click to Tweet
With more devices, interconnectivity and user demand, enterprises face an increasing number of data points across varied sources. 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. The in-memory performance and functionality of Spark provides a valuable building block for real-time data pipelines and streaming analytics. With Streamliner, users get access to Spark’s rich libraries and programming functionality without having to write code.
“Enterprises need to quickly build multiple real-time data pipelines in a single interface to take advantage of diverse data sources, including mobile and IoT applications,” said Eric Frenkiel, CEO and co-founder, SingleStore. “With Streamliner, companies can meet their mission critical data priorities head on with instant data processing and advanced analytics, driving business value and growth.”
Connect with SingleStore at Gartner Symposium/ITxpo
iVisit SingleStore at booth #1318 to learn more about building real-time pipelines.
Companies like Pinterest are building real-time data pipelines to process and analyze large volumes of data at the speed of business. Massimo Pezzini will share the Pinterest use case, among others, during a session on Wednesday, October 7 from 2:30 PM - 3:15 PM:
In-memory Computing and Big Data: Architecting for New Velocity Needs
The greater adoption of data types such as sensor data or machine-generated data along with new in-memory computing technologies is creating the opportunity for digital business innovation. Addressing real-time processing of large volumes of fast moving data to address business moments challenges traditional approaches to information infrastructure. This session will offer guidance on how to evolve the information infrastructure to support these new requirements. Emerging in-memory computing technologies and case studies from successful organizations will also be reviewed.
For more information about Streamliner:
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 www.singlestore.com.