apache-arrow

QuestDB is a high performance, open-source, time-series database

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

Instant Kubernetes-Native Application Observability

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

Apache Kafka® compatible broker with S3, PostgreSQL, SQLite, Apache Iceberg and Delta Lake

❄️ Coolest database around 🧊 Embeddable column database written in Go.

Lakehouse native graph engine with git-style workflows

Manipulate JSON-like data with NumPy-like idioms.

Fast, interactive geospatial data visualization in Jupyter.

Geospatial extensions for Polars

Loaders for big data visualization. Website:

Learn vector search with Rust and DataFusion; the C++/BusTub track is deprecated.

Intuitive Data Workflows

Rust-based WebAssembly bindings to read and write Apache Parquet data

Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️

Specification for storing geospatial data in Apache Arrow

Infrastructures™ for Machine Learning Training/Inference in Production.

GeoArrow in Rust, Python, and JavaScript (WebAssembly) with vectorized geometry operations

Official Go implementation of Apache Arrow

🚀 GizmoSQL — High-Performance Database Server