SingleStore Unveils Roadmap for Ongoing Integration with Apache Spark
New capabilities to be showcased at Spark Summit Boston in 2017
San Francisco, CA - September 26, 2016 - SingleStore, provider of the fastest database platform for real-time analytics, today announced that it is extending the SingleStore Streamliner solution, and in particular the SingleStore Spark Connector, to support Spark 2.x. These new capabilities will be showcased at Spark Summit in Boston, Massachusetts on February 7-9, 2017.
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SingleStore launched the first Spark Connector in early 2015 - an open-source integration enabling high throughput, low-latency, bi-directional data flow between SingleStore and Spark. Later in 2015, SingleStore announced Streamliner, an integrated solution simplifying access to and deployment of Spark. The next iteration of this solution comes in conjunction with Spark popularity as a transformation tier. In a survey conducted by SingleStore on real-time initiatives, 67% of respondents said they use Apache Spark in that capacity.
“Our forthcoming solution supporting Spark 2.x demonstrates our continued commitment to the underlying core technology of Streamliner, the SingleStore Spark Connector,” said Nikita Shamgunov, CTO and co-founder, SingleStore. “The Streamliner solution is a part of a broad SingleStore integrations portfolio, featuring the highest performance tools to ingest data into SingleStore, and enabling customers to operationalize advanced analytics from other distributed computation platforms such as Apache Spark.”
To remain relevant in the real-time world enterprises must implement architectures supporting advanced analytics. In particular the proliferation of data sources, including IoT and sensors, web statistics, logs, and mobile applications are driving a need for real-time transformation and long-term durability. By combining the distributed capabilities of Spark with the persistent, distributed capabilities of SingleStore, users can harness streaming data and deliver immediate analytics. As a relational database with a native SQL engine, SingleStore enables Spark users to operationalize their deployments, share results with thousands of business analysts, and connect to any SQL-based tool in the ecosystem.
SingleStore delivers the leading database platform for real-time analytics. Global enterprises use SingleStore to achieve peak performance and optimize data efficiency. With the combined power of database, data warehouse, and streaming workloads in one system, SingleStore helps companies anticipate problems before they occur, turn insights into actions, and stay relevant in a rapidly changing world. Visit singlestore.com or follow us @SingleStoreDB.