parquet

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

Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more.

Official Rust implementation of Apache Arrow

Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.

Create full-fledged APIs for slowly moving datasets without writing a single line of code.

Apache Parquet Java

The fastest business intelligence tool for humans and agents.

Apache Parquet Format

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.

Apache Drill is a distributed MPP query layer for self describing data

Real-time analytics on Postgres tables

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

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

A large-scale entity and relation database supporting aggregation of properties

One SQL interface for 60+ tools (e.g., GitHub, Notion, Airtable). Plug into any LLM through MCP.

Tonbo is an embedded database for serverless and edge runtimes.

cryo is the easiest way to extract blockchain data to parquet, csv, json, or python dataframes

OLake - Fastest Databases, Kafka & S3 Replication to Apache Iceberg with Table optimization (Called OLake Fusion). ⚡ Efficient, quick and scalable data ingestion for real-time analytics. Supported sources : Postgres, MongoDB, MySQL, Oracle, MSSql, DB2, Kafka, S3.