Big Data Analytics Database
Up to 100 Times Faster Analytics
100TB on a Standard Server
Experience Unparalleled Performance and Simplicity Analyzing Your Big Data
SQream Technologies provides the #1 performing big data analytics database in terms of SPEED, SCALE, SIZE and SIMPLICITY - with the lowest TCO in the market. SQream’s powerful SQL software platform helps analysts, data scientists, DBAs and researchers easily master the art and science of data mining, and rapidly grow revenues. SQream’s solutions can either be on-premise, cloud-based, or a hybrid combination of both.
GPU-Powered SQL Database
SQream utilizes the massive parallel processing powers of GPUs (Graphic Processing Units) for dealing with heavy analytical workloads. The supercomputing powers of the GPU combined with SQream’s patented technology, results in up to 100 times faster analytics performance on terabyte-petabyte scale data sets.
SPEEDGet up to X100 faster results compared with any other solution
SCALABILITYScale up to multi petabytes, without collapsing
SIZEInvest in a cost-effective standard 2U server, no more full-racks!
QUICK IMPLEMENTATIONImplement X10 faster – no indexes, no cubes, just raw data (ODBC, JDBC, .NET)
EASE OF USEEnjoy SQL – plain English – no new DBA skills required
COST-EFFECTIVENESSSave in hardware costs, energy and resources (90% less)
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Best of Breed Features Enhanced with New Big Data Technology
SQream’s technology boosts analytics performance through massive parallel computing, using a patent-pending GPU-based (Graphic Processing Unit) technology. This revolutionary technology in the Big Data field boosts analytics performance by up to 100 times, allowing organizations to work with more data than ever before, with much needed simplicity in terms of implementation (no indexes/data modelling is needed, no new DBA skills are required) and usage (SQL, plain English).
High-Speed Analytics in a Standard Server
On-Premise Big Data Analytics DB
Hybrid Data Warehouse Solution
SQream help enterprises of all sizes to tackle the world’s toughest big data challenges, with a special focus on the following industries: