What is Debezium?
Start it up, point it at your databases, and your apps can start responding to all of the inserts, updates, and deletes that other apps commit to your databases. It is durable and fast, so your apps can respond quickly and never miss an event, even when things go wrong.
Debezium is a tool in the Database Tools category of a tech stack.
Debezium is an open source tool with 8.5K GitHub stars and 2.2K GitHub forks. Here’s a link to Debezium's open source repository on GitHub
Who uses Debezium?
Companies
21 companies reportedly use Debezium in their tech stacks, including paytm, ViaVarejo, and Trendyol Group.
Developers
60 developers on StackShare have stated that they use Debezium.
Debezium Integrations
MySQL, PostgreSQL, MongoDB, Kafka, and SQLite are some of the popular tools that integrate with Debezium. Here's a list of all 8 tools that integrate with Debezium.
Debezium's Features
- Do more with your data
- Simplify your apps
- Never miss a beat
- React quickly
Debezium Alternatives & Comparisons
What are some alternatives to Debezium?
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
Logstash
Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.
Slick
It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
Spring Data
It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
DataGrip
A cross-platform IDE that is aimed at DBAs and developers working with SQL databases.
