# CDC Use Cases: 7 Ways to Put CDC to Work

DevFeed: [CDC Use Cases: 7 Ways to Put CDC to Work](<https://devfeed.tech/articles/cdc-use-cases-7-ways-to-put-cdc-to-work-18807.md>)

Original publisher: [Read original article](<https://www.morling.dev/blog/cdc-use-cases/>)

Published: 2023-11-02T00:00:00Z

Content type: article

Language: en

Sources: [Gunnar Morling](<https://devfeed.tech/sources/gunnar-morling.md>)

Topics: [data-engineering](<https://devfeed.tech/topics/data-engineering.md>), [streaming-data-processing](<https://devfeed.tech/topics/streaming-data-processing.md>), [Kafka](<https://devfeed.tech/topics/kafka.md>), [apache-flink](<https://devfeed.tech/topics/apache-flink.md>), [MySQL](<https://devfeed.tech/topics/mysql.md>), [Microservice](<https://devfeed.tech/topics/microservice.md>), [migration](<https://devfeed.tech/topics/migration.md>)

Tags: [apache-flink](<https://devfeed.tech/tags/apache-flink.md>), [data](<https://devfeed.tech/tags/data.md>), [data-engineering](<https://devfeed.tech/tags/data-engineering.md>), [debezium](<https://devfeed.tech/tags/debezium.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [migration](<https://devfeed.tech/tags/migration.md>), [mysql](<https://devfeed.tech/tags/mysql.md>), [real-time](<https://devfeed.tech/tags/real-time.md>)

## AI overview

This article explains change data capture (CDC), focusing on log-based CDC and its low-latency, resource-efficient handling of database changes. It introduces Debezium and describes how CDC works with data streaming and stream-processing tools such as Apache Kafka and Apache Flink, before outlining seven common use cases.

## Source excerpt

Table of Contents What is CDC? CDC Tools Analytics Data Platforms Application Caches Full-Text Search Audit Logs Continuous Queries Microservices Data Exchange Monolith-to-Microservices Migration Summary This post originally appeared on the Decodable blog. All rights reserved. Change Data Capture (CDC) is a powerful tool in data engineering and has seen a tremendous uptake in organizations of all kinds over the last few years. This is because it enables the tight integration of transactional databases into many other systems in your business at a very low latency.