SQream Technologies has redefined big data analytics with SQream DB, a complementary SQL database harnessing the power of GPU to enable fast, flexible, and cost-efficient analysis of massive datasets of hundreds of terabytes. SQream GPU database enables rapid analysis of hundreds of terabytes or more of raw data, eliminating the need for arduous preparation while reducing reporting time from hours to minutes. SQream complements your MPP or Hadoop-based system with a simple "lift and shift" of raw data to SQream DB, allowing you to focus on insights instead of infrastructure.

Product Highlights

• POWERED BY GPU, Massive parallel engine, Not limited by RAM.
• FAST, Powerful columnar storage, Always-on compression, 2-3 TB/hour GPU ingest.
• SCALABLE, From terabytes to petabytes, More GPUs = More users.
• SQL DATABASE, Familiar ANSI SQL, Standard connectors
• EXTENSIBLE FOR ML/AI, Python API, Jupyter, etc, Built for data science.

Benefits of SQream Database Solution

Fast Analysis of Massive Raw Data
SQream's powerful technology breezes through trillions of rows of data, getting you results up to 100x faster. With SQream, your raw data is available for immediate querying, so there's no need for pre-aggregation or pre-modeling.

Simple Deployment Administration
With standard SQL syntax as well as ODBC, JDBC, .NET, Node.js and Python connectivity, SQream DB is already supported by your ecosystem - either on the cloud, on-premise or as a hybrid.

Built for Your Growing Data
Grow from terabytes to petabytes with ease. SQream easily scales storage and compute power, with no need for data redistribution.

Cost-Efficient
Harnessing the tremendous power of NVIDIA GPUs, SQream offers a minimal footprint with maximum hardware efficiency. SQream can store and analyze over 100 TB in a single 2U machine.

 Download Sqream Database Brochure here