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Tag: Data pipelines and messaging
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Apache RocketMQ is a cloud native messaging and streaming platform, making it simple to build event-driven applications.

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

  • database
  • distributed-database
  • distributed-sql-database
  • sql

Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code

  • workflow-schedule
  • azkaban
  • airflow
  • task-scheduler

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

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

Apache Beam is a unified programming model for Batch and Streaming data processing.

Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.

JeroMQ is a pure Java implementation of the ZeroMQ messaging library, offering high-performance asynchronous messaging for distributed or concurrent applications.

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

EventMesh is a new generation serverless event middleware for building distributed event-driven applications.

A platform that makes it easy for developers to build realtime, cost-effective, operations-focused applications

zerocode-tdd is a community-developed, free, open-source, outcome-driven automated testing framework for Data Pipelines, ETL, REST API, Kafka(Data Streams), Databases and Load scenarios. all defined in simple JSON or YAML — with zero coding.

  • soap
  • assertions
  • java
  • api