SingleStore Announces New Tiered Database Platform for Combined Real-Time and Historical Data Analysis
New Integrated Architecture Delivers World’s Fastest In-Memory Database Processing for Both Operations and Analytics, Plus Rapid Transfer Flash-Optimized Column Store for Deep Analysis
SAN FRANCISCO, February 6, 2014 - SingleStore, the leader in distributed in-memory database technology, today announced SingleStore v3.0, which combines the world’s fastest in-memory row store with a new highly compressed column store. This integration provides a tiered storage architecture that leverages memory for real-time transactions and analytics, and a flash-optimized column store for deep analysis. SingleStore v3.0 provides access to both storage formats through an ANSI SQL interface, with built-in utilities for transferring data between formats to eliminate the costly and time-consuming extract, transform, and load (ETL) process. This leads to shorter development cycles and reduced latency. The result is a single database for both real-time and historical data in a fast, scalable and flexible platform.
As a customer of SingleStore, CPXi has been in production with the new columnar architecture for almost six months. CPXi is a global digital media holding company providing multi-screen messaging that leverages display, social, mobile and video advertising at scale and serves billions of managed impressions daily.
“The new capabilities in SingleStore v3.0 allow CPXi to leverage historical data stores and use them to shape a real-time response,” said Gil Resh, senior vice president of product and technology at CPXi. “We measure online engagement over time and capture vast amounts of data—more than 250 billion records with hundreds of different dimensions—to make millisecond decisions about which ads to show, even while the webpage is loading.”
With most database offerings, organizations must use separate databases for transactions, analytical processing and data warehousing. This siloed storage approach creates separate collections of data that can’t be analyzed together without costly ETL, a slow and error-prone process. Moreover, separate data stores require engineers to develop on multiple platforms and create custom connectors for databases that were not designed for interoperability.
“Enterprises are increasingly seeking to make the smartest possible decision in the critical moment, in order to increase efficiency, reduce operational risk, and maximize income potential. Such enterprises need to leverage Big Data with real-time analysis of their data so they can best serve both their customers and their bottom lines,” said IDC analyst Carl Olofson. “The purpose of SingleStore v3.0 technology is to enable enterprises to process coordinated transactional and up-to-the-minute analytical workloads. This ensures data timeliness and integrity while obviating the need for complex ETL or CDC data transfers, thus saving resources and eliminating related operational delays, frustration, and human error.”
SingleStore v3.0 brings a simplified data infrastructure that makes it possible to maintain one active dataset, allowing users and applications to conduct real-time analysis that incorporates both live and historical data. Companies can use SingleStore's in-memory row store to ingest streaming data and run time-sensitive analytics. As data volumes grow, data can be moved to the new flash-optimized column store for highly compressed long-term storage and for deep analysis. This tiered storage architecture provides greater flexibility and the result is a simpler, more cost-effective and less latency-prone data infrastructure.
“Our customers’ top priorities are speed and scalability,’” said Eric Frenkiel, co-founder and CEO of SingleStore. “Our new flash-optimized column store means customers can combine real-time and historical data for added flexibility, extracting the full value of their data.”
SingleStore v3.0 features a tiered storage architecture that allows companies to combine in-memory row and flash-optimized columnar engines to capture, store, and query hundreds of terabytes of data in real-time. Highlights include:
- Workloads can access data in both row and column stores.
- Highly compressible – deploy in memory, flash, or disk.
- Built-in utilities for transferring data seamlessly between storage tiers.
- Horizontally scalable on commodity hardware.
SingleStore v3.0 will be available for download in Q2 2014. For more information regarding an enterprise license including full support and services, please contact email@example.com or (855) 463-6775.
SingleStore is the database for fast data processing. With a single platform, companies can converge live data with their data warehouse to accelerate applications and power real-time operational analytics. SingleStore’s Big Data platform brings speed, scale, and simplicity to enterprise customers worldwide. Based in San Francisco, SingleStore is a Y Combinator company funded by prominent venture capitalists and angel investors, including Accel Partners, Khosla Ventures, Data Collective, First Round Capital and IA Ventures.