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Firebolt

Cloud data warehouse engineered for sub-second analytics on large datasets, with innovative indexing and query optimization.

Key Features

  • Sparse indexes: Minimize data scanning
  • Vectorized execution: CPU-optimized processing
  • Query optimization: Automatic query tuning
  • Caching: Multi-tier intelligent caching
  • Decoupled compute/storage: Scale independently
  • Elastic engines: Resize on demand
  • Concurrent workloads: Isolated engine pools
  • Semi-structured support: JSON, arrays, nested data
  • Standard SQL: Familiar syntax
  • JDBC/ODBC: Standard connectivity
  • Python SDK: Programmatic access
  • BI integration: Tableau, Looker, etc.
  • Streaming ingestion: Real-time data
  • Batch loading: S3, external tables
  • Change data capture: Incremental updates
  • Schema evolution: Flexible schema changes