Performance directly relates to the size of the result-set, not the size of the dataset. The deeper the user drills down, the faster it gets.
Supports standard SQL and easily integrates with BI tools such as Qlik, Tableau and Microstrategy, using JDBC/ODBC.
Works with any standard Hadoop distribution, including Cloudera, Hortonworks and MapR, as well as Amazon S3, and can be easily added to an existing cluster.
Ingests billions of events per hour, runs blazing fast queries of terabyte-size tables, and easily handles hundreds of concurrent users.
JethroData works with any standard Hadoop distribution, including Cloudera, Hortonworks and MapR, as well as Amazon S3, and can be easily added to an existing cluster. It runs on separate compute nodes and no JethroData components are installed on Hadoop nodes.
A more subdued subheader
I am extremely pleased to announce that we have recently raised an $8.1 million investment round. The round was led by our new partner Square Peg Capital, with participation from our existing investor, Pitango Venture Capital. Arad Naveh of Square...Read more