JethroData ad Private beta program of its engine SQL-Based Index for Hadoop

JethroData ad Private beta program of its engine SQL-Based Index for Hadoop -

JethroData, supplier, based in California, San Jose SQL on Hadoop released its product SQL-on-Hadoop for the private beta. unique indexing technology JethroData would be a good fit for dashboards in real-time, ad-hoc queries, interactive reporting. The solution is non-invasive and requires no installation on the cluster nodes

The JethroData indexing technology works by indexing fully select datasets HDFS -. Each column is indexed. This architecture allows index JethroData access requests only the data they need, instead of the methods and products that operate long clean sweep of all datasets. This would allow high performance and scalability , and significantly reduce the computational resource consumption.

"Until now, customers using Hadoop benefited from its high scalability, but had to sacrifice query performance," said Eli Singer, co-founder and CEO of JethroData. "When our customers testing early, we were pleased to see that our architecture has been able to provide the speed of motion we target. We are very pleased to announce our private beta program, inviting more customers try also "

The main features of SQL to Hadoop JethroData :.

• each column is indexed - JethroData index each column. Queries use the index to read only the data they need instead of expensive full-scans
• Compatible with BI and reporting tools -. JethroData supports standard SQL and would easily integrate BI tools using JDBC /ODBC.
• Fast and Easy Install - JethroData can be added to an existing Hadoop cluster. It is noninvasive and requires no installation on the cluster nodes. With simple installation on a dedicated server connection to the Hadoop cluster via standard HDFS client, customers can load data and start questioning a few minutes
• Scalability and High Availability -. Query Nodes JethroData are stateless and highly elastic, which makes it easy to scale-out to meet the competition requirements. Its indexes and column are stored as standard HDFS files and receive native Hadoop scalability and high availability.

Backed by leading VC, JethroData was founded by a team of entrepreneurs with a successful startup experience. SQL index JethroData engine for Hadoop provides fast analysis on Hadoop, enabling ad hoc query, live dashboards and interactive BI. JethroData is headquartered in New York with its R & D facilities in Israel.

To Join JethroData Private Beta, please go to http://jethrodata.com/get-beta.

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