SQream Platform
GPU Powered Data & Analytics Acceleration
Enterprise (Private Deployment) SQL on GPU for Large & Complex Queries
Public Cloud (GCP, AWS) GPU Powered Data Lakehouse
No Code Data Solution for Small & Medium Business
Do you have data preparation processes or workloads that are taking too long and cost too much?
SQream performance leans on patented GPU-acceleration, synchronizing all available resources (CPU, GPU, RAM) and using the brute force of the GPU for the most complex analytical tasks. SQream uses the GPU to achieve parallel data processing. By splitting large tasks into smaller processes, SQream distributes operations between multiple GPU cores, while allowing admins to balance parallelism and concurrency according to their business needs
SQream Blue doesn’t require ingestion or data movement and relies on direct access to data in open-standard formats. Through the entire data preparation cycle, all data remains at the customer’s low-cost cloud storage (S3 or GCS), maintaining privacy and ownership at best, while preserving a single source of truth and eliminating the need for data duplication.
SQream easily integrates with common open-source workflow management and orchestration tools (Apache Airflow, Dagster, Prefect), along with support for industry-standard ODBC, JDBC, and Python connectors. Moreover, Blue’s cluster management has a REST API
SQream's processing engine utilizes Apache Parquet’s column-oriented structure and metadata by saving unnecessary data read
GPU data analytics. 100% faster.
Handle Complex, Multi-Terabyte Datasets with SQL at Half the Cost and Double the Speed
SQream Blue is a SQL data lakehouse that empowers organizations to transform and query complex, multi-terabyte scale datasets to gain deeper, time-sensitive insights at 1/2 the cost and 2X the speed of cloud warehouse and query engine solutions.
GPU accelerated data processing
GPU accelerated data processing