Hortonworks customers can now enhance their Hadoop applications with Elasticsearch real-time data exploration, analytics, logging and search features, all designed to help businesses ask better questions, get clearer answers and better analyze their business metrics in real-time.
Hortonworks Data Platform and Elasticsearch make for a powerful combination of technologies that are extremely useful to anyone handling large volumes of data on a day-to-day basis. With the ability of YARN to support multiple workloads, customers with current investments in flexible batch processing can also add real-time search applications from Elasticsearch.
Here are just some of the use case results from Elasticsearch:
Elasticsearch became a Hortonworks Certified Technology Partner in June and is the first search tool to be certified on HDP 2 with YARN. A leader, like Hortonworks, in the open source space, this partnership will benefit users of either product. Elasticsearch is a great fit for HDP because its scalable, distributed nature allows it to search – and store – vast amounts of information in near real-time.
Elasticsearch: “We’re excited to partner with Hortonworks and to announce that Elasticsearch is now certified with Hortonworks Data Platform 2.0 to make real-time data exploration faster on Hadoop,” said Steven Schuurman, CEO of Elasticsearch. “Hadoop and Elasticsearch are among the most popular open source products currently being run in production within the Enterprise. Our advanced open source search and analytics engine combined with Hortonworks open source Hadoop makes a powerful big data solution for customers embarking on big data projects.”
Using Elasticsearch with HDP is easy thanks to Elasticsearch integrations. Developers can write MapReduce jobs that index existing data in HDFS, enabling search through the Elasticsearch REST API and related ecosystem. Developers can also enable MapReduce jobs to read and write the input and output datasets to and from Elasticsearch. This deep integration extends to Hive, Pig and Cascading.