data-ingestion

SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.

ingestr is a CLI tool to copy data between any databases with a single command seamlessly.

Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch operations.

Concurrent and multi-stage data ingestion and data processing with Elixir

Pravega - Streaming as a new software defined storage primitive

Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.

Copy to/from Parquet in S3, Azure Blob Storage, Google Cloud Storage, http(s) stores, local files or standard inout stream from within PostgreSQL

The Supabase of AI era. A modular, open-source backend for building AI-native software — designed for knowledge, not static data.

Orbital automates integration between data sources (APIs, Databases, Queues and Functions). BFF's, API Composition and ETL pipelines that adapt as your specs change.

Use SQL to build ELT pipelines on a data lakehouse.

A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way 🌰

Apache Paimon Rust The rust implementation of Apache Paimon.

The Data Engineering Book - หนังสือวิศวกรรมข้อมูล ของคนไทย เพื่อคนไทย

Apache Spark examples exclusively in Java

Build complete API integrations with YAML and SQL. Rapid development without vendor lock-in and per-row costs.

Squirrel dataset hub

Sample code for the AWS Big Data Blog Post Building a scalable streaming data processor with Amazon Kinesis Data Streams on AWS Fargate

Enables custom tracing of Java applications in Dynatrace

OpenKit Java Reference Implementation