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Optimizes fundamental data manipulation and query operations on GPUs with drop-in accelerators for popular tools like pandas and Spark.
Distinct from GPU DataFrame Libraries: Distinct from GPU DataFrame Libraries: adds SQL query acceleration alongside DataFrame operations, not just DataFrame manipulation.
Explore 3 awesome GitHub repositories matching data & databases · SQL Query Accelerators. Refine with filters or upvote what's useful.
Optimizes data manipulation and SQL query operations on GPUs with drop-in accelerators for pandas and Spark.
AliSQL is a fork of MySQL by Alibaba that extends the relational database management system with enhancements for high performance, scalability, and enterprise-grade availability. It retains the core MySQL identity as a SQL-based database for storing, organizing, and retrieving structured data, while adding optimizations for large-scale transactional and analytical workloads. The project differentiates itself through a set of Alibaba-specific improvements, including a columnar engine for accelerating analytical queries directly on MySQL tables, and a distributed, shared-nothing NDB Cluster en
Offloads analytical queries to a columnar engine for faster execution than the standard row-based engine.
Pigsty is a full-stack orchestration suite for deploying, monitoring, and managing high-availability PostgreSQL clusters and their supporting infrastructure. It functions as a cluster management platform and high-availability suite that automates failover, manages virtual IPs, and ensures data consistency through distributed consensus. The project distinguishes itself by providing a comprehensive database infrastructure-as-code framework and a dedicated observability stack. It incorporates a backup and recovery manager supporting point-in-time recovery via S3-compatible object storage, alongs
Accelerates OLAP queries through columnar storage, distributed processing, and GPU acceleration.