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.
- 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.
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