analytical-database

Open, SQL-native time-series database for telemetry you need to keep. 34M+ records/sec ingestion, 8M+ rows/sec queries. InfluxDB Line Protocol and Telegraf compatible. Open Parquet on your storage. Single binary. S3/Azure native. Air-gap ready. AGPL-3.0.

An AI-native multi-model database unifying SQL, vector, full-text, graph, and sandboxed Python — for transactional, analytical, and agent workloads.

String compression library for database engines: per-row random access and predicate evaluation on the compressed stream.

Run your MPP database on kubernetes - Kubernetes Operator for Apache Cloudberry

Blazing fast, memory-efficient analytical query engine for Node.js & TypeScript. Query millions of rows in milliseconds without choking the V8 event loop.

Filesystem-native analytical tables you can actually read. Each table is plain Parquet plus JSON files you can open with everyday tools, with a fast SQL engine on top: row-level edits (delete, update, merge), near-instant repeat queries, full table history with time travel, and optional encryption. Built in Rust.

Distributed SQL analytics engine for Go: embed it in a Go application, or deploy it as a fault-tolerant query cluster with durable S3 exchange. Vectorized columnar OLAP over Parquet and Apache Iceberg; PostgreSQL wire protocol; no JVM, no CGo. Built for network telemetry: first-class IPv4/IPv6/CIDR/MAC/Port/Protocol types, 100+ network functions.