SeaTunnel （原名为 waterdrop）是一个易用的支持海量数据实时同步的高性能分布式数据集成平台，每天可以稳定同步数百亿数据
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
Orbital automates integration between data sources (APIs, Databases, Queues and Functions). BFF's, API Composition and ETL pipelines that adapt as your specs change.
#大语言模型#The Supabase of AI era. A modular, open-source backend for building AI-native software — designed for knowledge, not static data.
Use SQL to build ELT pipelines on a data lakehouse.
#自然语言处理#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
Sequor is a SQL-centric platform for building API integrations without lock-in and black boxes. Fuses API execution with SQL logic to provide an open, flexible platform for all your data and app integ...
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