Sqream DB

Sqream DB is a GPU-based SQL database solution that aims to empower organizations of all sizes to perform complex analytics on large datasets. According to the vendor, Sqream DB leverages the power of GPUs for parallel data processing, enabling quick and efficient analysis of large volumes of data. The GPU-accelerated engine synchronizes available resources, such as CPU, GPU, and RAM, to provide speed, scalability, and efficiency.

Key Features:

GPU-based Big Data Platform: According to the vendor, Sqream DB harnesses the power of GPUs for parallel data processing, allowing organizations to analyze large volumes of data quickly and efficiently.

SQL Database: Sqream DB is a SQL database that supports ANSI-SQL syntax, making it easy for users to write and run queries using familiar SQL commands. The vendor claims it seamlessly integrates with existing analytics workflows through the built-in SQream Acceleration Studio or third-party BI tools.

High Connectivity: Sqream DB offers support for industry-standard ODBC and JDBC connectors, as well as various programming languages like Python, C# .Net, C++, and Java. According to the vendor, it allows users to connect their preferred BI tools, ensuring compatibility with a wide range of data integration and visualization solutions.

Compression: Sqream DB automatically compresses all ingested data at a 5:1 ratio, optimizing data storage efficiency and reducing storage requirements. The vendor states that this feature helps organizations save on storage costs while maintaining fast query performance and data accessibility.

Compute and Storage Separation: According to the vendor, Sqream DB separates compute and storage, enabling flexible scaling and resource allocation. Organizations can store or retrieve data from a single or multiple storage sources, while compute units can run on multiple machines.

Performance Optimization: Sqream DB optimizes performance by synchronizing all available resources, including CPU, GPU, and RAM, for complex analytical tasks. The vendor claims it performs vertical and horizontal partitioning of data, distributing the workload across multiple compute units for efficient data processing.

Advanced SQL Functionality: Sqream DB supports complex SQL queries, including JOINs, aggregations, and window functions, allowing users to perform advanced analytics on their data.

Data Compression: Sqream DB automatically compresses all ingested data at a 5:1 ratio, reducing storage requirements and optimizing data storage efficiency.

Flexible Scaling: According to the vendor, Sqream DB allows for flexible scaling and resource allocation by separating compute and storage. Organizations can scale their compute resources independently and optimize data processing based on their specific needs.

Columnar Storage: Sqream DB stores data tables by columns, eliminating unnecessary data reading for each analytical workload and improving query performance.