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Change Data Capture (CDC) Platforms: Log-Based Replication & Streaming

A guide to change data capture platforms — open-source engines, enterprise replication, managed pipelines, cloud services, database-native features and the lakehouse and streaming targets they feed.

66 topics•8 categories•Updated October 2026

Open-Source CDC Engines

7 entries

Log-based capture you can run yourself.

Enterprise Replication & CDC

11 entries

Mission-critical, heterogeneous, mainframe-grade.

Managed ELT & Pipeline Platforms

13 entries

CDC delivered as a service.

Cloud & Lakehouse Services

9 entries

Platform-native change capture.

Database-Native Change Capture

6 entries

What the source databases provide.

Streaming & Lakehouse Targets

5 entries

Where captured changes land.

Learn More

6 entries

Explainers.

Related Pages

9 entries

Neighbouring pages on this site.

Frequently Asked Questions

What is change data capture?

CDC identifies and delivers inserts, updates and deletes from a source database as they happen, so other systems stay in sync without bulk reloads.

Log-based, trigger-based or query-based CDC?

Log-based CDC reads the database transaction log, which adds the least load and captures deletes; trigger and query-based methods are simpler but heavier and can miss changes.

How do I choose a CDC platform?

Check source and target coverage, latency, schema-change handling, exactly-once or at-least-once delivery, operations effort and cost. Debezium suits Kafka teams, managed ELT suits small data teams, and GoldenGate, Qlik or IBM suit enterprise replication.

Which pages are related?

Data Integration, ETL and CDC Tools, ETL Tools, Kafka, Streaming Databases, Data Lakehouse Platforms and Data Engineering on this site.

How current is this list?

Links were checked in October 2026. Sites that block automated checks are kept and may need a manual click; acquired products are labelled.