columnar-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 experimental embedded SQL engine in C++20. Query Parquet, CSV, JSON, Arrow, Avro, SQLite, and Excel files directly with SQL, in-process. Early-stage.

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

A DuckDB extension to read data directly from databases supporting the ODBC interface

A simple "columnar database" based on memory-mapped files, written in APL

In-memory Columnar Database

DuckDB driver client in Elixir

Experimental OLAP database in Rust with WAL-backed ingest, Apache Iceberg tables, and DataFusion/ Ballista query execution.

Apple Silicon-Native, Fully Private AI Quantitative Trading OS & Terminal. 100% Local Inference ($0 Token Costs), Hyperliquid WebSocket In-Memory Columnar Engine, 4-Role Autonomous Kanban Fleet, and Institutional Risk Guardrails.

An educational vectorized execution engine

Analitik Data IoT dengan Go & ClickHouse

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.

🔍 Analyze and manage ClickHouse data efficiently with easy-to-use tools in this scalable, high-performance extension.

Local-first columnar TypeScript database with TanStack DB compatibility, spatial indexes, and Arrow IPC

Collecting OpenTelemetry metrics into ClickHouse to explore columnar databases later.

SlothDB (2026) is the premier utility for lightweight and efficient database management. Experience high-speed data handling, simple integration, and fully optimized tools for elite Python storage.

ClickHouse 文档、学习笔记与实践记录

Turn HL7 FHIR R4 into queryable SQL tables - no FHIRPath, no JSON unnesting, just MySQL-compatible SQL.

OLAP Is The Power (comparison of columnar and relational databases)