JethroData Announces Private Beta Program of Its Index-Based SQL Engine for Hadoop
New Software Product Brings Best of Analytical Database Performance to Big Data Hadoop Scalability
San Jose, California (PRWEB) June 04, 2014
JethroData, the fastest SQL on Hadoop in the market, today released its SQL-on-Hadoop product for private beta. A major innovation delivering 100x faster queries, JethroData's unique indexing technology enables companies using Hadoop to start harvesting their big data at the speed of business.
Unique Architecture Powering the Fastest SQL on Hadoop
JethroData’s unique indexing technology works by fully indexing select datasets on HDFS – every column is indexed. This Index architecture lets JethroData queries access only the data they need, replacing current methods and products that run lengthy full-scan of the entire datasets, enabling unparalleled performance and significantly reducing computing resource consumption. JethroData is a great fit for real-time dashboards, interactive ad-hoc queries and reporting.
“In our early customer tests, we were pleased to see that our architecture was able to deliver the query speed that we were aiming for. We are very excited to announce our private beta program, inviting more customers to try it as well”, said Eli Singer, JethroData’s Co-Founder and CEO. Eli added: “Until today, customers using Hadoop benefited from its great scalability but had to sacrifice query performance. JethroData’s customers enjoy both scalability and fast performance in a single Hadoop platform. With greater performance, Hadoop can now be used for ad-hoc queries, live dashboards and interactive BI .
JethroData – blazing fast ad-hoc queries and live dashboards on Hadoop
- Every column is indexed. JethroData indexes every column. Queries use the index to read only the data they need instead of costly full-scans
- Compatible with BI and Reporting tools. JethroData supports standard SQL and easily integrates with 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 cluster nodes. With simple install on a dedicated server connecting to the Hadoop cluster via standard HDFS client, customers can load data and start querying within minutes.
- Scalability and High-Availability: JethroData’s Query Nodes are stateless and highly elastic, allowing easy scale-out to meet concurrency requirements. Its index and column files are stored as standard HDFS files and benefit from native Hadoop scalability and high availability.
JethroData is a leader in Big Data Analytics technology, aiming to help companies make their big data analytics work in real time. Backed by leading VC’s, JethroData was founded by a team of entrepreneurs with successful startup experience. JethroData's index-based SQL engine for Hadoop delivers the fastest analytics on Hadoop, enabling ad-hoc queries, live dashboards and interactive BI. JethroData customers enjoy the scalability of Hadoop with the performance of an analytical database, in one system. JethroData is headquartered in NYC with its R&D facilities in Israel.
To Sign up for JethroData Private Beta, please go to http://jethrodata.com/get-beta.
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