Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.

Upserts, Deletes And Incremental Processing on Big Data.

Dinky is a real-time data development platform based on Apache Flink, enabling agile data development, deployment and operation.

LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data analytics on cloud storages for both BI and AI applications.

World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.

Scalable identity resolution, entity resolution, data mastering and deduplication using ML

Apache Amoro (incubating) is a Lakehouse management system built on open data lake formats.

Open Control Plane for Tables in Data Lakehouse

Streaming application development and management system, based on Linkis and DSS, planning to provide the workflow-like graphical drag-and-drop development capability.

Apache iceberg Spark s3 examples

Data lake implementation demo, include iceberg on flink, iceberg on spark, hudi on flink, hudi on spark

Debezium server batch consumers

A new Data Lake: virtual data platform, Catalog, and Resource-Driven processing

Welcome to the fascinating intersection of Web3, Artificial Intelligence (AI), Open Data Core (ODC), and Composable Enterprise Fabric - a nexus of modern technologies that are significantly reshaping the enterprise landscape

Proxy for AWS

Apache Paimon(incubating) is a streaming data lake platform that supports high-speed data ingestion, change data tracking and efficient real-time analytics.

Standalone service for easily exposing DataLake contents

Upserts, Deletes And Incremental Processing on Big Data.