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

Analitik Data IoT dengan Go & ClickHouse

An educational vectorized execution engine

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.

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

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

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.

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

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

ClickHouse 文档、学习笔记与实践记录

ClickHouse® is a real-time analytics database management system

Vertica (now branded OpenText Analytics Database) is a high-performance, columnar, MPP analytics database designed for petabyte-scale data warehousing, data lakehouse, and advanced analytics workloads across on-premises, cloud, and Kubernetes deployments.

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