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Tags: ETL
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1–19 of 19 · Most stars

SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.

  • data-integration
  • high-performance
  • offline
  • real-time

Apache Camel is an open source integration framework with 350+ connectors. Write routes in Java, YAML, or XML. Run on Spring Boot, Quarkus, or standalone. Apache License 2.0.

TranslatedDataX integrated with a visual page: select a data source and generate a data synchronization task with one click. Supports data sources such as RDBMS, Hive, HBase, ClickHouse, and MongoDB, and batch creation of RDBMS data synchronization tasks. Integrates an open-source scheduling system, and supports distributed and incremental data synchronization, real-time viewing of running logs, monitoring of executor resources, KILL of running processes, encryption of data source information, and more.

A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.

  • data
  • ingestion
  • replication
  • management

An extensible Java framework for building event-driven applications that break up XML and non-XML data into chunks for data integration

  • java
  • smooks
  • enterprise-integration
  • etl

Hadoop Data Integration with various databases, ftp servers, salesforce. Incremental update, dedup, append, merge your data on Hadoop.

Java importer skeleton for complicated, business-logic-heavy high-performance Neo4j imports directly from SQL databases, CSV files, etc.

  • neo4j
  • java
  • neo4j-graphaware-framework