GPU-based Big Data Platform
We're looking for forward-thinking organizations ready to make a mark in the data landscape. If you're a data-driven visionary, a cloud data enthusiast, and someone who knows the power of optimization, you're the perfect fit.
We're looking for forward-thinking organizations ready to make a mark in the data landscape. If you're a data-driven visionary, a cloud data enthusiast, and someone who knows the power of optimization, you're the perfect fit.
You are:
SQream Blue is the first-of-its-kind data lakehouse, turbocharged by a patented GPU-based engine. Imagine data preparation and transformation at the speed of light – enabling analytics-ready information for BI or ML. No data movement, no compromise.
Harness the brute force of GPUs for complex tasks. Parallel processing ensures lightning-fast analytics and Cost-Effective workloads. Eliminate unnecessary data movement and duplication. Maintain privacy and ownership while optimizing costs.
Cloud-centric architecture, GCP aficionados, data pipelines processing over 5TB daily – that's the sweet spot for us. If you're passionate about SQL-based data preparation, you're already halfway there.
Blue’s 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. Blue 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
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, maintaining privacy and ownership at best, while preserving a single source of truth and eliminating the need for data duplication.
Blue easily integrates with common open-source workflow management and orchestration tools (Apache Airflow, Dgaster, Prefect), along with support for industry-standard ODBC, JDBC, and Python connectors. Moreover, Blue’s cluster management has a REST API
Blue’s processing engine utilizes Apache Parquet’s column-oriented structure and metadata by saving unnecessary data read