Press Release

Transform Any Enterprise Application with Fault Tolerant and Linearly Scalable Real-Time Streaming

Leading Big Data Provider Infochimps Integrates Storm and Kafka Into Data Delivery Service.

Austin, Texas (PRWEB) October 30, 2012 – Infochimps, the leading Big Data Platform-as-a-Service Cloud Service provider for the enterprise, today announced the addition of open source stream processing technologies Storm and Kafka to its managed, hosted service. Infochimps is the first in the industry to leverage these technologies in a fault-tolerant, linearly scalable platform offering.

Storm and Kafka now power the Infochimps Data Delivery Service (DDS), the platform component that performs data collection, transport, and complex in-stream processing.

Storm is the same technology that enables Twitter to process 400 million tweets per day. Kafka is the foundation of LinkedIn’s activity streams, and their operational data processing pipeline. Together, Storm and Kafka form the best enterprise-grade real-time streaming analytics solution on the market.

“These are two of the most exciting open source technologies available today,” said Jim Kaskade, CEO of Infochimps. “But who can manage and deploy them for the enterprise? Our customers want to leverage the best technologies available, but they want to do so confidently. We’re bringing the next generation of complex event processing and real-time capability to literally any enterprise application. Now the business can analyze and personalize to great advantage. That’s what real-time is all about.”

Storm and Kafka are already in use at a number of high-profile companies like Twitter and Groupon. Now, customers of the Infochimps Big Data Cloud Service can follow suit with stream processing at infinite scale, resting assured that every message gets processed in real-time, at any velocity, and in a reliable way.

“Storm and Kafka are excellent platforms for scalable real-time data processing. We are very pleased that Infochimps has embraced Storm and Kafka for DDS. This new offering gives us the opportunity to supplement our listening and analytics products with Infochimps’ data sources, to integrate capabilities seamlessly with our partners who also use Storm, and to retain Infochimps’ unique technical team to support and optimize our data pipelines,” said Steve Blackmon, Director of Data Sciences at W2O Group.

“The combination of Storm and Kafka is the future of stream processing for Big Data. We’re proud to be the first-to-market with an enterprise-grade Storm and Kafka offering,” said Flip Kromer, co-founder and CTO of Infochimps. “We have a track record of embracing the bleeding edge of open source, but also making the latest and greatest Big Data innovations enterprise-ready. Storm is doing to real-time processing what Hadoop did to batch processing. We were one of the first companies to embrace Hadoop, and now we’re the first to embrace (and commercialize) Storm and Kafka, too.”

Stream processing solutions like Storm and Kafka have caught the attention of many enterprises due to its superior approach to ETL and data integration, in-memory analytics, and real-time decision support. Companies are fast realizing that batch processing in Hadoop does not support real-time business needs. As Hadoop adoption continues to expand, Storm and Kafka follow as Big Data essentials.

“Storm has gained an enormous amount of traction in the past year due to its simplicity, robustness, and high performance,” said Nathan Marz, Storm creator and senior Twitter engineer. “Storm’s tight integration with the queuing and database technologies that companies already use have made it easy to adopt for their stream computing needs.”

New as well as existing Infochimps customers will immediately begin taking advantage of the new Storm/Kafka framework.

For more information on the Infochimps Platform, please visit: