One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
The open-source observability database. One columnar engine for metrics, logs, and traces, on object storage.
An extensible, state-of-the-art framework for columnar compression, and the fastest FOSS columnar file format. Formerly at @spiraldb, now an Incubation Stage project at LFAI&Data, part of the Linux Foundation.
Apache DataFusion Comet is a plugin that accelerates Apache Spark queries by running operators and expressions natively on Arrow columnar data.
βοΈ Coolest database around π§ Embeddable column database written in Go.
Parseable is an open source, unified infrastructure observability platform built in Rust on a data lake architecture. It tracks logs, metrics, traces, and events across apps, agents, and systems, reducing storage costs by up to 90% through columnar telemetry compression.
High-performance Go package to read and write Parquet files
Manipulate JSON-like data with NumPy-like idioms.
Apache ORC - the smallest, fastest columnar storage for Hadoop workloads
New and extensible file format for storage of large columnar datasets.
Open, SQL-native time-series database for telemetry you need to keep. 38M+ records/sec ingestion, 25M+ 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.
A distributed OpenTelemetry-native columnar datastore whose only backend is object storage.
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
Copy to/from Parquet in S3, Azure Blob Storage, Google Cloud Storage, http(s) stores, local files or standard inout stream from within PostgreSQL