The 7 Best CDC Tools (Change Data Capture)

on Data Integration • October 19th, 2020 • Write for Hevo

In this article, let us look into some of the best CDC tools to implement change data capture. Here is what we will cover in this blog:

Hevo, A Simpler Alternative to Integrate your Data for Analysis

Hevo offers a faster way to move data from databases or SaaS applications into your data warehouse to be visualized in a BI tool. Hevo is fully automated and hence does not require you to code.

Check out some of the cool features of Hevo:

  • Completely Automated: The Hevo platform can be set up in just a few minutes and requires minimal maintenance.
  • Real-time Data Transfer: Hevo provides real-time data migration, so you can have analysis-ready data always.
  • 100% Complete & Accurate Data Transfer: Hevo’s robust infrastructure ensures reliable data transfer with zero data loss.
  • Scalable Infrastructure: Hevo has in-built integrations for 100+ sources that can help you scale your data infrastructure as required.
  • 24/7 Live Support: The Hevo team is available round the clock to extend exceptional support to you through chat, email, and support call.
  • Schema Management: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data and maps it to the destination schema.
  • Live Monitoring: Hevo allows you to monitor the data flow so you can check where your data is at a particular point in time.

You can try Hevo for free by signing up for a 14-day free trial.

What is Change Data Capture?

Change Data Capture (CDC) is the process that captures the changes made to a database. Change refers to the data added, deleted, updated, etc.

Taking a database dump will export a database and import it to a data warehouse/lake, but this is not a scalable approach.  Change Data Capture will capture just the changes made to the database and apply those to the target database. CDC reduces the overhead and supports real-time analytics. It enables incremental loading and eliminates the need for bulk load updating.

Let us now look into the best CDC tools available.

Hevo Data


Hevo is a no-code data pipeline. It is a simpler alternative allowing you to move data in minutes. It has a straight-forward visual interface, it is faster than hand-coding, and that too at a fraction of the cost.

Hevo Data supports CDC out of the box and brings in data into your target data warehouse in real-time. It has integrations with more than a hundred connectors, with enterprise-grade security and support. 

Hevo lets you set up CDC in 3 easy steps.

  1. Authenticate and connect to your data source
  2. Select CDC as your replication mode
  3. Point to the destination where you want to move data.

Try Hevo out by signing up here.

IBM Infosphere

IBM Infosphere
Image via LogoDix

IBM Infosphere is a data integration platform that enables data cleansing, transformation, and data monitoring. It can handle all volumes of data using its highly scalable and flexible data integration platform. Infosphere Information Server provides massively parallel processing (MPP) capabilities.

Infosphere CDC is for the organizations that want to replicate DB2 (a database product from IBM) to or from a z/OS (IBM mainframe operating system) system. Management Console provides the front-end functionality for Infosphere CDC allowing you to work with the databases in the sources and targets. It communicates with Infosphere CDC to support the data transfer.

Qlik Replicate (formerly Attunity Replicate)

Image via Qlik

Qlik replicate is a data-ingestion and relocation tool.  It provides real-time insights into enterprise data. It enables data replication, replication, and streaming across multiple sources and targets. Qlik transfers data securely both on-premise and in the cloud.


Image via Wikimedia Commons

Talend builds CDC support into the enterprise-class open source data integration platform, Talend Data Integration. Talend CDC is based on a publish/subscribe model, where the publisher captures the changes in data in real-time. Then it makes it available to the subscribers which can be databases or applications. 

Talend’s CDC works with several databases such as Oracle, MS SQL Server, DB2, MySQL, etc.

Oracle GoldenGate

GoldenGate provides log-based CDC and delivery between heterogeneous systems in real-time. It enables replication, transformation, and filtering of transactional data from databases in real-time. 


Image via Github

Debezium is an open-source distributed platform for CDC built on top of Apache Kafka. It is scalable and can handle data of large volumes. Debezium constantly monitors databases and enables applications to stream row-level changes to data in the order they were committed to the databases. Debezium monitors even when your apps are down so that they can start where they left off. 

Debezium has support for MySQL servers, PostgreSQL servers, SQL servers, and MongoDB replica sets or sharded clusters. Debezium is distributed and fault-tolerant. Information loss is minimized because events are recorded across multiple machines.

Apache StreamSets

Image via Cloudinary

Apache StreaSets is a free DataOps and real-time ETL tool that automatically converts data into exchangeable records. It does not show queues between processors. StreamSets makes debugging easier with its real-time debugging tool. It does not allow leaving disconnected processors. 


In this blog, you went through some of the best CDC tools to implement change data capture. Hand-coding the CDC infrastructure comes with many challenges. It is difficult to manage and reusing code is complex. It also takes a lot of developer bandwidth. It is a lot more efficient to invest in an out of the box tool like Hevo.

Hevo is a no-code platform with an intuitive GUI, it is scalable and can be set up quickly. You can quickly bring your data from any source to a data warehouse in real-time. 

If you are interested, take Hevo for a spin for free by signing up here.

Share your thoughts on CDC tools in the comments below!

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