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HeavyDB is an open-source GPU-accelerated analytical database designed to perform extremely fast queries on large datasets. The system is built as a SQL-based relational columnar database engine that leverages modern hardware parallelism, including GPUs and multicore CPUs. Its architecture allows users to query datasets containing billions of rows in milliseconds without requiring traditional indexing, pre-aggregation, or sampling techniques. HeavyDB was originally developed as part of the OmniSci platform (formerly MapD) and is commonly used for large-scale analytics and geospatial data processing. The database compiles queries into optimized machine code that executes efficiently on GPU hardware, significantly accelerating analytical workloads. It supports hybrid deployment environments where queries can run on both CPU and GPU architectures depending on the available resources.
Features
- GPU-accelerated relational database for high-performance analytics
- SQL query engine capable of processing multi-billion-row datasets
- Columnar storage architecture optimized for analytical workloads
- Support for hybrid CPU and GPU execution environments
- Real-time query execution without indexing or pre-aggregation
- Geospatial analytics support with native spatial data types
Project Samples
