A simplified, lightweight ETL Framework based on Apache Spark

A Spark plugin for reading and writing Excel files

A simple Spark-powered ETL framework that just works 🍺

Declarative text based tool for data analysts and engineers to extract, load, transform and orchestrate their data pipelines.

A COBOL parser and Mainframe/EBCDIC data source for Apache Spark

Big Data Toolkit for the JVM

为DataX(https://github.com/alibaba/DataX) 提供远程多语言调用（ThriftServer，HttpServer） 分布式运行（DataX on YARN） 功能

Flowman is an ETL framework powered by Apache Spark. With its declarative approach, Flowman simplifies the development of complex data pipelines.

A schema-aware Scala library for data transformation

数据采集平台zdh,etl 处理服务

Powerful, whiteboard-style ETL

EtlFlow is an ecosystem of functional libraries in Scala based on ZIO for running complex Auditable workflows which can interact with Google Cloud Platform, AWS, Kubernetes, Databases, SFTP servers, On-Prem Systems and more.

A light Kafka to HDFS/S3 ETL library based on Apache Spark

Apache Spark ETL Utilities

智能数据探索服务(Intelligent Data Exploration Service)，一站式Data + AI数据解决方案！

Write ETL using your favorite SQL dialects

基于Spark+SparkMLlib+Debezium+Deequ打造的简单易用、超高性能大数据治理引擎。适用于批流一体的数据集成和数据分析，支持CDC实时数据采集、机器学习算法模型、数据质量校验、数据标注、敏感数据识别、数据建模、算法建模和OLAP数据分析

NebulaGraph Exchange is an Apache Spark application to parse data from different sources to NebulaGraph in a distributed environment. It supports both batch and streaming data in various formats and sources including other Graph Databases, RDBMS, Data warehouses, NoSQL, Message Bus, File systems, etc.

基于Akka实现的数据实时流式同步的应用,支持高可用

Cloud Data Access client