Concurrent and Elasticsearch Team Up
Concurrent, Inc. and Elasticsearch, Inc. today announced a partnership to accelerate the time to market for Hadoop-based enterprise data applications.
Enterprises seeking to make the most out of their Big Data can now easily build applications with Cascading that read and write directly to Elasticsearch, a search and analytics engine that makes data available for search and analysis in a matter of seconds. Once data is in Elasticsearch, users can also take advantage of Kibana, Elasticsearch’s data visualization tool, to generate pie charts, bar graphs, scatter plots and histograms that allow them to easily explore and extract insights from their data.
This robust, ready-made integration is designed for enterprises that need to leverage the power of Elasticsearch with Cascading ETL and data processing workflows on Hadoop. Users can process their data at scale with Cascading, while benefiting from the power of Elasticsearch for near real-time, actionable search and analysis. The end result gives enterprises a robust end-to-end data application they can build quickly, which leverages Cascading for simplified and reliable data processing and Elasticsearch for powerful search and analytics capabilities.
As enterprises continue to heavily invest in the building of data-centric applications to connect business strategy to data, they need a reliable and repeatable way to consistently deliver data products to customers. With more than 175,000 downloads a month, Cascading is the enterprise development framework of choice and has become the de-facto standard for building data-centric applications. With a proven framework and support for various computation fabrics, Cascading enables enterprises to leverage existing skillsets, investments and systems to deliver on the promise of Big Data.
Supporting Quotes “As a Big Data developer, author, engineer and cloud architect, I’m committed to using, knowing and writing about the best technologies that benefit businesses and customers. As a user of both Elasticsearch and Cascading, I’m excited to see this partnership take place and see the great technologies that will integrate and emerge from this collaboration.” – Antonios Chalkiopoulos, author of “Programming MapReduce with Scalding”
“We’re on a mission to make massive amounts of data usable for businesses everywhere, so it’s no surprise that we’re teaming up with Concurrent, a company that’s leading the way in Big Data application infrastructure for the enterprise. Now, when developers use Cascading to build Hadoop-based applications, they can easily utilize Elasticsearch to instantly query and analyze their data, allowing them to provide a fast and robust search experience, as well as gain valuable insights.” – Shay Banon, co-founder and CTO, Elasticsearch, Inc.
“We continue to set the industry standard for building data applications. Bringing the power of Elasticsearch for fast, distributed, data search and analytics together with Cascading reflects our common goal — faster time to value in the deployment of data-centric applications. This is a feature our customers have been asking for, and we expect tremendous response from the community.” – Chris Wensel, founder and CTO, Concurrent, Inc.
