Hadoop is a powerful and popular platform. But as data volumes grow, organizations increasingly struggle to maintain the vast infrastructure and to obtain critical business insights due to tedious data preparation, inflexibility for ad-hoc queries, and lengthy time-to-insight. SQream works alongside Hadoop to enable the lean storage of massive data, accelerated heavy queries, and ad-hoc SQL analytics.
SQream’s Load-and-Go architecture eliminates time-consuming and insight-limiting processes like manual partitioning and distribution of data.
With fully featured-SQL, interaction with SQream is intuitive. Achieve faster response times, interactive dashboards, and ad-hoc queries on massive data from Hadoop.
Maximize the economy of Hadoop where it shines, and leverage SQream’s robust performance for your massive workloads and complex analytics.
“This combination of technologies is planned to allow LG Uplus to integrate with Hadoop…for analysis of the company’s very large data stores.”
Sumit Gupta, Cognitive Systems VP of AI and HPC at IBM
“We are always looking for new and better ways to analyze our huge data stores. SQream DB allows our Data Science team to generate the insights we need with a lean and performant addition to our existing Hadoop system.”
Multinational credit card and payment services provider