BriskDB has launched an alpha version designed to convert standard SQLite files into a sharded database system. This new approach allows for parallel write operations across different shards, enhancing the scalability of SQLite. It also provides compatibility with PostgreSQL clients and offers HTTP access, expanding its integration possibilities.
The system maintains SQLite's core storage engine and tooling, with BriskDB adding a routing layer, shard-safe IDs, and cross-shard indexes. It operates without a central write lock, as writes to different shards utilize separate Write-Ahead Logs (WALs), enabling concurrent processing. The architecture includes a protocol-neutral Rust engine that handles routing, limits, and cancellation, ensuring consistent behavior across various client types.
BriskDB does not fork SQLite; each shard remains an ordinary SQLite WAL database inspectable by standard tools. It also implements safe cross-shard pruning using verification, watermarks, Bloom filters, and min/max summaries to ensure data integrity and global uniqueness.
Beyond PostgreSQL, BriskDB plans to support MongoDB and MySQL clients. It also provides embedded Rust and Python APIs. For operational monitoring, BriskDB exposes metrics and status reports via /health, /metrics, and admin JSON endpoints, detailing lag, repairs, rebuilds, and contention.
A read-only data browser is available at /admin, which combines sharded rows into a single logical view and preserves large integer values. The current alpha release is intended for development and testing, not for production use.
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BriskDB has released an alpha version that transforms SQLite files into a sharded database, enabling parallel writes and offering PostgreSQL compatibility. This development allows SQLite's storage engine to scale for distributed environments while maintaining its existing tooling.