What debezium does

Debezium is an open source, community-driven distributed platform for change data capture (CDC), founded in 2016 and currently governed under the Commonhaus Foundation. Its core product is a family of Kafka Connect source connectors that read database transaction logs (MySQL binlog, PostgreSQL WAL, MongoDB oplog, Oracle redo, SQL Server CDC, etc.) and stream row-level inserts, updates, and deletes to Apache Kafka topics in real time with millisecond latency and exactly-once delivery guarantees. The platform supports 13+ database management systems including MySQL, PostgreSQL, MongoDB, Oracle, SQL Server, Db2, Cassandra, Vitess, Spanner, Informix, CockroachDB, YashanDB, and MariaDB, and ships supporting components — Debezium Server (standalone sinks to Kinesis, Pub/Sub, Pulsar), Debezium Engine (embedded Java library), Debezium UI, Debezium Operator, Debezium Management Platform, sink connectors (JDBC, MongoDB), and Single Message Transformations — distributed via Maven Central, quay.io, and Docker Hub.

The platform is licensed under Apache License 2.0 and generates no direct revenue. There are no commercial editions, no paid support tiers, and no disclosed parent company, funding, or management team; the project is maintained by an open source contributor community. Go-to-market is community-led and API-first: users discover and adopt through documentation, GitHub, Zulip chat, mailing lists, blog posts, and the Kafka Connect ecosystem, with configuration managed via the Kafka Connect REST API. Primary customer segments are data engineering teams building real-time pipelines and event-driven microservices, with secondary use among database administrators for replication and modernization. An incubating AI module adds embeddings and document transformations for RAG use cases.

Business model mechanics: free open source distribution under Apache 2.0; no licensing fees; no disclosed enterprise support offering from the project itself. Distribution is purely self-serve through public artifact repositories. As a result, Debezium is best understood as an infrastructure-layer open source standard rather than a commercial vendor.

Name

debezium

Legal name

Debezium

Website

https://debezium.io

Company type

Private

Founded year

2016

Operating status

Operating

Short description

Debezium is an open source, Apache 2.0-licensed change data capture platform that streams row-level database changes from 13+ database systems to Apache Kafka in real time, serving data engineering teams building event-driven pipelines and microservices without generating direct revenue.

Ownership category

akta.pro rank

Product category

Change Data Capture (CDC) Software

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Database Tools & Ecosystem (Replication, Backup/Recovery, HA/DR, Monitoring) (HDAEAAAO)

akta.pro secondary industries

Database/Application Data Layer Modernization (DB migration, ORM, caching) (BPAEAFAL), Data Security & Privacy for Cloud (DLP, DSPM, Tokenization) (HDABAHAK)

Keywords

• Change data capture
• Log-based CDC
• Kafka Connect connectors
• Database replication
• Event streaming platform

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Operations

Revenue model

1. Open Source Distribution: Debezium is distributed as open source under the Apache License 2.0. The project is community-driven and does not generate direct revenue from licensing fees.

Pricing tiers

Go-to-market motion2 records

Distribution channels6 records

Marketing channels12 records

Core offering

Debezium is an open source distributed platform for change data capture (CDC) that monitors database transaction logs (binlog for MySQL, WAL for PostgreSQL, oplog for MongoDB, and equivalents for Oracle, SQL Server, Db2, Cassandra, Vitess, Spanner, Informix, CockroachDB, YashanDB, MariaDB) and streams row-level insert, update, and delete events in real time with millisecond latency. It is built on Apache Kafka and Kafka Connect, packaged as source connectors, with additional sink connectors, an embeddable Engine, a standalone Server, a UI, a Kubernetes Operator, and Single Message Transformations for routing, filtering, and transforming change events.

Product overview

Debezium is an open source distributed change data capture (CDC) platform built on Apache Kafka and Kafka Connect. The core platform provides a set of source connectors that monitor specific databases (MySQL, PostgreSQL, MongoDB, Oracle, SQL Server, Db2, Cassandra, Vitess, Spanner, Informix, CockroachDB, YashanDB, and MariaDB) and stream row-level change events to Kafka topics in real time. The product family includes: the core Debezium platform with its Kafka Connect-based connectors; Debezium Server as an alternative runtime for streaming to non-Kafka messaging systems (Kinesis, Pub/Sub, Pulsar); Debezium Engine as an embedded Java library for applications that want to consume CDC events without Kafka; Debezium UI as a web-based management interface; the Debezium Operator and Management Platform for Kubernetes/OpenShift operations; and a suite of sink connectors (JDBC, MongoDB Sink) and Single Message Transformations (SMTs) for routing, filtering, and transforming change events. The platform also includes an AI module with embeddings transformation for vector data. Licensed under Apache 2.0 and governed by the Commonhaus Foundation.

Differentiator

Problem solved

Functional benefit

Products and services

• Debezium Core Platform Open source distributed platform for change data capture (CDC). Built on Apache Kafka and Kafka Connect, it monitors databases and streams row-level change events (inserts, updates, deletes) to messaging systems in real time with millisecond latency.
• Debezium Source Connectors A family of Kafka Connect source connectors that capture changes from specific databases: MySQL, PostgreSQL, MongoDB, Oracle, SQL Server, Db2, Cassandra, Vitess, Spanner, Informix, CockroachDB, YashanDB, and MariaDB. Each connector uses the database's native log-based CDC mechanism.
• Debezium JDBC Sink Connector Sink connector that propagates Debezium change events from Kafka topics to JDBC-compatible databases (relational databases with JDBC drivers).
• Debezium MongoDB Sink Connector Sink connector that propagates change events from Kafka topics to MongoDB targets.
• Debezium Engine A Java library for embedding Debezium connectors directly into JVM applications without requiring Kafka and Kafka Connect clusters. Provides a lightweight alternative for applications that do not need full fault tolerance of a distributed Kafka Connect deployment.
• Debezium Server A configurable, standalone application that streams change events from source databases to messaging infrastructures other than Kafka, including Amazon Kinesis, Google Cloud Pub/Sub, and Apache Pulsar.
• Debezium UI A web-based user interface built with ReactJS and Quarkus for setting up and operating Debezium connectors. Includes a Create Connector wizard with validation, connector list with status monitoring, and ability to pause/resume/restart/delete connectors.
• Debezium Operator Kubernetes operator for declarative deployment and management of Debezium connectors on Kubernetes and OpenShift. Part of the standalone Debezium deployment options.
• Debezium Management Platform A standalone management platform for operating and monitoring Debezium connectors, separate from Kafka Connect management.
• Debezium Container Images Docker container images hosted on Quay.io and DockerHub for Kafka, Kafka Connect, and each Debezium connector. Pre-installed and ready to use for testing and evaluation.

Quantifiable outcome

• Millisecond-range latency for change event capture (vs. polling intervals that can miss intermediate changes)
• +1 more outcomes

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration16 records

AI capability3 records

Feature11 records

Partnerships

Six partnerships are on record, tiered core, major and governance.

• Apache Kafka / Kafka ConnectcoreTechnology or IntegrationDebezium is built on Apache Kafka and provides Kafka Connect compatible source connectors. The connectors produce change events to Kafka topics, leveraging Kafka's reliable streaming platform for fault tolerance and delivery guarantees. This is the foundational integration for the entire Debezium architecture.
• StrimzicoreTechnology or IntegrationStrimzi is a Kubernetes operator for Apache Kafka that simplifies Kafka deployment on Kubernetes and OpenShift. Debezium documentation recommends using Strimzi for deploying Kafka and Kafka Connect on Kubernetes/OpenShift. The integration allows declarative deployment of Debezium connectors via Kubernetes custom resources.
• Red Hat / OpenShiftcoreTechnology or IntegrationDebezium provides comprehensive documentation for deploying on OpenShift and Kubernetes. Uses Red Hat's OpenShift as the primary container platform reference for enterprise deployments. The Strimzi operator is deployed via OperatorHub.
• QuarkusmajorTechnology or IntegrationDebezium UI is implemented as a Quarkus-based web application. The Debezium Engine can be used with Quarkus via the Debezium Quarkus Extension. Provides optimized integration for cloud-native Quarkus applications.
• ConfluentmajorTechnology or IntegrationDebezium connectors are compatible with Confluent's Kafka Connect distribution. When using Confluent's container image, the CONNECT_PLUGIN_PATH environment variable configures Debezium connector plugin paths.
• Commonhaus FoundationgovernanceOthersDebezium is a project of the Commonhaus Foundation, which provides governance, trademark management, and operational infrastructure for open source projects.

Scale indicators4 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Hevo Data: Hevo Data is a no-code data pipeline platform offering CDC ingestion from relational databases into warehouses and SaaS destinations. It targets the same data-engineering buyer as Debezium and competes in the managed CDC pipeline category.
• StreamSets: StreamSets provides a data integration platform with CDC capabilities for change data capture from enterprise databases into streaming and batch targets. It serves a similar data-engineering audience as Debezium and offers comparable log-based ingestion features.
• Striim: Striim is a commercial real-time data integration and CDC platform offering log-based change capture for multiple enterprise databases. It is the closest commercial analog to Debezium in terms of feature set (log-based CDC, streaming delivery, broad DBMS support) and competes for the same data-engineering buyer, albeit in a paid-license model.
• Airbyte: Airbyte is an open-source data integration platform with CDC connectors for PostgreSQL, MySQL, MongoDB, and others. It overlaps with Debezium in the open-source CDC space and serves the same data-engineering buyer evaluating self-serve ELT/CDC pipelines.
• Qlik Replicate: Qlik Replicate (formerly Attunity Replicate) is a CDC and data replication platform supporting a wide range of enterprise databases. It competes directly with Debezium for log-based CDC workloads in enterprise data replication and migration scenarios.

Broad incumbents

• Oracle GoldenGate: Oracle GoldenGate is a long-established commercial CDC and replication platform, primarily for Oracle and adjacent enterprise databases. It is a broad incumbent in the CDC space and competes with Debezium for mission-critical replication and integration use cases in large enterprises.
• Azure Data Factory: Azure Data Factory (with CDC-enabled pipelines) is Microsoft's managed data integration and CDC service. It competes with Debezium for change capture workloads on Azure-hosted databases, particularly in Synapse-integrated architectures.
• Google Cloud Datastream: Google Cloud Datastream is a serverless CDC and replication service for Google Cloud customers, supporting Oracle, MySQL, and PostgreSQL. It is a direct hyperscaler competitor to Debezium for cloud-native CDC pipelines.
• Fivetran: Fivetran is a managed ELT data integration platform offering CDC connectors across major databases. While broader than pure CDC, it overlaps with Debezium in the automated change-capture-to-warehouse pipeline category for cloud-native data teams.
• AWS Database Migration Service: AWS DMS is a managed CDC and database migration service offered by AWS. It competes with Debezium for AWS-hosted database change capture and migration use cases, with the advantage of tight AWS integration and a managed SLA.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

• Xx.com/debezium
• GitHubgithub.com/debezium
• YouTubeyoutube.com/@debezium1269
• LinkedInlinkedin.com/company/100047161

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about debezium