Debezium - Stream changes from your databases.

  •        44

Debezium is a distributed platform that turns your existing databases into event streams, so applications can see and respond immediately to each row-level change in the databases. Debezium is built on top of Apache Kafka and provides Kafka Connect compatible connectors that monitor specific database management systems. Debezium records the history of data changes in Kafka logs, from where your application consumes them. This makes it possible for your application to easily consume all of the events correctly and completely.

https://debezium.io
https://github.com/debezium/debezium

Tags
Implementation
License
Platform

   




Related Projects

librdkafka - The Apache Kafka C/C++ library

  •    C

Copyright (c) 2012-2016, Magnus Edenhill.librdkafka is a C library implementation of the Apache Kafka protocol, containing both Producer and Consumer support. It was designed with message delivery reliability and high performance in mind, current figures exceed 1 million msgs/second for the producer and 3 million msgs/second for the consumer.

kq - Kafka-based Job Queue for Python

  •    Python

KQ (Kafka Queue) is a lightweight Python library which lets you queue and execute jobs asynchronously using Apache Kafka. It uses kafka-python under the hood. You may need to use sudo depending on your environment.

spring-integration-kafka

  •    Java

The Spring Integration Kafka extension project provides inbound and outbound channel adapters for Apache Kafka. Apache Kafka is a distributed publish-subscribe messaging system that is designed for high throughput (terabytes of data) and low latency (milliseconds). For more information on Kafka and its design goals, see the Kafka main page.Starting from version 2.0 version this project is a complete rewrite based on the new spring-kafka project which uses the pure java Producer and Consumer clients provided by Kafka 0.9.x.x and 0.10.x.x..

kafkacat - Generic command line non-JVM Apache Kafka producer and consumer

  •    C

kafkacat is a generic non-JVM producer and consumer for Apache Kafka >=0.8, think of it as a netcat for Kafka.In producer mode kafkacat reads messages from stdin, delimited with a configurable delimiter (-D, defaults to newline), and produces them to the provided Kafka cluster (-b), topic (-t) and partition (-p).


fast-data-dev - Kafka Docker for development

  •    Shell

Apache Kafka docker image for developers; with Landoop Lenses (landoop/kafka-lenses-dev) or Landoop's open source UI tools (landoop/fast-data-dev). Have a full fledged Kafka installation up and running in seconds and top it off with a modern streaming platform (only for kafka-lenses-dev), intuitive UIs and extra goodies. Also includes Kafka Connect, Schema Registry, Landoop Stream Reactor 25+ Connectors and more.

ruby-kafka - A Ruby client library for Apache Kafka

  •    Ruby

A Ruby client library for Apache Kafka, a distributed log and message bus. The focus of this library will be operational simplicity, with good logging and metrics that can make debugging issues easier.Although parts of this library work with Kafka 0.8 – specifically, the Producer API – it's being tested and developed against Kafka 0.9. The Consumer API is Kafka 0.9+ only.

kafka-connect-jdbc - Kafka Connect connector for JDBC-compatible databases

  •    Java

A Kafka Connect JDBC connector for copying data between databases and Kafka.

pykafka - Apache Kafka client for Python; high-level & low-level consumer/producer, with great performance

  •    Python

PyKafka is a cluster-aware Kafka>=0.8.2 client for Python. It includes Python implementations of Kafka producers and consumers, which are optionally backed by a C extension built on librdkafka, and runs under Python 2.7+, Python 3.4+, and PyPy.PyKafka's primary goal is to provide a similar level of abstraction to the JVM Kafka client using idioms familiar to Python programmers and exposing the most Pythonic API possible.

confluent-kafka-go - Confluent's Apache Kafka Golang client

  •    Go

confluent-kafka-go is Confluent's Golang client for Apache Kafka and the Confluent Platform.High performance - confluent-kafka-go is a lightweight wrapper around librdkafka, a finely tuned C client.

strimzi-kafka-operator - Apache Kafka running on Kubernetes and OpenShift

  •    Java

Strimzi provides a way to run an Apache Kafka cluster on Kubernetes or OpenShift in various deployment configurations. See our website for more details about the project. Documentation to the current master branch as well as all releases can be found on our website.

stream-reactor - Streaming reference architecture for ETL with Kafka and Kafka-Connect

  •    Scala

Lenses offers SQL (for data browsing and Kafka Streams), Kafka Connect connector management, cluster monitoring and more. A collection of components to build a real time ingestion pipeline.

kafka-node - Node.js client for Apache Kafka 0.8 and later.

  •    Javascript

Kafka-node is a Node.js client with Zookeeper integration for Apache Kafka 0.8.1 and later. Follow the instructions on the Kafka wiki to build Kafka 0.8 and get a test broker up and running.

chaperone - A Kafka audit system

  •    Java

As Kafka audit system, Chaperone monitors the completeness and latency of data stream. The audit metrics are persisted in database for Kafka users to quantify the loss of their topics if any.Basically, Chaperone cuts timeline into 10min buckets and assigns message to corresponding bucket according to its event time. The stats of the bucket are updated accordingly, like the total message count. Periodically, the stats are sent out to a dedicated Kafka topic, say 'chaperone-audit'. ChaperoneCollector consumes those stats from this topic and persists them into database.

kafka-monitor - Monitor the availability of Kakfa clusters with generated messages.

  •    Java

Kafka Monitor is a framework to implement and execute long-running kafka system tests in a real cluster. It complements Kafka’s existing system tests by capturing potential bugs or regressions that are only likely to occur after prolonged period of time or with low probability. Moreover, it allows you to monitor Kafka cluster using end-to-end pipelines to obtain a number of derived vital stats such as end-to-end latency, service availability and message loss rate. You can easily deploy Kafka Monitor to test and monitor your Kafka cluster without requiring any change to your application.Kafka Monitor can automatically create the monitor topic with the specified config and increase partition count of the monitor topic to ensure partition# >= broker#. It can also reassign partition and trigger preferred leader election to ensure that each broker acts as leader of at least one partition of the monitor topic. This allows Kafka Monitor to detect performance issue on every broker without requiring users to manually manage the partition assignment of the monitor topic.

kafka-storm-starter - Code examples that show to integrate Apache Kafka 0

  •    Scala

Code examples that show how to integrate Apache Kafka 0.8+ with Apache Storm 0.9+ and Apache Spark 1.1+ while using Apache Avro as the data serialization format. Take a look at the Kafka Streams code examples at https://github.com/confluentinc/examples.

confluent-kafka-dotnet - Confluent's Apache Kafka .NET client

  •    CSharp

confluent-kafka-dotnet is Confluent's .NET client for Apache Kafka and the Confluent Platform.High performance - confluent-kafka-dotnet is a lightweight wrapper around librdkafka, a finely tuned C client.

confluent-kafka-python - Confluent's Apache Kafka Python client

  •    Python

confluent-kafka-python is Confluent's Python client for Apache Kafka and the Confluent Platform.High performance - confluent-kafka-python is a lightweight wrapper around librdkafka, a finely tuned C client.

Pinot - A realtime distributed OLAP datastore

  •    Java

Pinot is a realtime distributed OLAP datastore, which is used at LinkedIn to deliver scalable real time analytics with low latency. It can ingest data from offline data sources (such as Hadoop and flat files) as well as online sources (such as Kafka). Pinot is designed to scale horizontally, so that it can scale to larger data sets and higher query rates as needed.

Kafka-Message-Server - Example application based on Apache Kafka framework to show it usage as distributed message server

  •    Java

Apache kafka is yet another precious gem from Apache Software Foundation. Kafka was originally developed at Linkedin and later on became a member of Apache project. Apache Kafka is a distributed publish-subscribe messaging system. Kafka differs from traditional messaging system as it is designed as distributed system, persists messages on disk and supports multiple subscribers. Kafka-Message-Server is an sample application for demonstrating kafka usage as message-server. Please follow the below instructions for productive use of the sample application.