Designed for data science
Data science queries are often complex, with multiple joins and transformations. SQream DB is built from the ground up, to make the best use of available resources, including the revolutionary power of the GPU.
Combine data from many tables - JOIN any table, on any key (or keys), and without manual indexing or pre-aggregating.
Process trillions of rows, near real-time
Our users use SQream DB for ad-hoc queries and models that require fast data ingestion while retaining high-throughput queries, that benefit from the power of GPUs
Standard connectors and APIs
SQream DB supports JDBC, ODBC, .Net as standard connectors, as well as Python and C++ APIs in order to fit your apps and tools.Tableau and SQream DB→
SQream DB's Innovative Database Engine
Automatic partitioning allows selective access to the required subset of columns, reducing disk scan and memory I/O when compared with standard row storage.
Powerful columnar engine
SQream DB, like other analytics databases, is a columnar database. This means data is highly compressed, and adding more data doesn't slow down your existing queries.
SQream DB combines GPU and CPU
The Traditional Method
The SQream Method
Analyze hundreds of terabytes with a single machine
SQream DB's GPU-accelerated architecture results in significantly lower hardware requirements and costs
SQream DB is certified on hardware from
Or on these cloud providers
Advanced SQL Support
ANSI-92 SQL support, with extensions. We support JOINs, aggregations, window functions, Regex, string and numerical operations, as well as online schema changes and advanced role permissions.Learn more about SQream DB's features→
Window functions, aggregations, ...
Get more perspectives on your data, in fewer queries.
Role-based permission system
Your database administrators control access with SQream DB's extensive role-based permission system.Learn about our SQL support→