Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.

The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

Change data capture for a variety of databases. Please log issues at https://github.com/debezium/dbz/issues.

The leader in Customer Data Infrastructure

Flink CDC is a streaming data integration tool

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

Privacy and Security focused Segment-alternative, in Golang and React

A list of useful resources to learn Data Engineering from scratch

Memphis.dev is a highly scalable and effortless data streaming platform

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

A self-contained, lightweight workflow engine with a built-in Web UI. Define workflows in a simple, declarative YAML format. Execute them anywhere, compose complex pipelines, and distribute tasks. Zero dependencies: runs entirely on the file system and OS without an external database.

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.

A lightweight stream processing library for Go

CLI task management & automation tool

BitSail is a distributed high-performance data integration engine which supports batch, streaming and incremental scenarios. BitSail is widely used to synchronize hundreds of trillions of data every day.

🔥🔥🔥 Open source Reverse ETL - alternative to hightouch and census.

Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

Example end to end data engineering project.