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 🍺

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

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

A free, open-source, web-based self-service BI tailor-made for clickhouse, google bigquery, mysql, postgresql, vertica

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

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

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

Write ETL using your favorite SQL dialects

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

基于Akka实现的数据实时流式同步的应用,支持高可用

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.

Apache-Spark based Data Flow(ETL) Framework which supports multiple read, write destinations of different types and also support multiple categories of transformation rules.

Cloud Data Access client