The majority of IT decision-makers, today, face delays in their business decisions due to slow data processing. As companies are collecting vast amounts of data, it is hampering the speed at which processors can run queries and extract the desired results. Change Data Capture (CDC) is the process that captures the changes made to a data storage medium like Database, Data Warehouse, etc. These changes usually refer to operations like data addition, deletion, updating, etc.

A straightforward way of Data Replication is to take a Database Dump that 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.

However, before we learn about CDC tools, let’s learn a little about Change Data Capture and its importance.

Best CDC Tools

Choosing the ideal CDC tool that perfectly meets your business requirements can be challenging, especially when a large variety of CDC tools and open source CDC tools are available in the market.

To simplify your search, here is a comprehensive list of the 7 best Change Data Capture tools you can choose from and easily start setting up your Data Replication.

Best CDC Tools 1: Hevo Data

Hevo allows you to replicate data in near real-time from 150+ Data Sources to the destination of your choice including Snowflake, BigQuery, Redshift, Databricks, and Firebolt, without writing a single line of code. Finding patterns and opportunities is easier when you don’t have to worry about maintaining the pipelines. So, with Hevo as your data pipeline platform, maintenance is one less thing to worry about.

For the rare times things do go wrong, Hevo ensures zero data loss. To find the root cause of an issue, Hevo also lets you monitor your workflow so that you can address the issue before it derails the entire workflow. Add 24*7 customer support to the list, and you get a reliable tool that puts you at the wheel with greater visibility. Check Hevo’s in-depth documentation to learn more.

If you don’t want SaaS tools with unclear pricing that burn a hole in your pocket, opt for a tool that offers a simple, transparent Hevo pricing model. Hevo has 3 usage-based pricing plans starting with a free tier, where you can ingest upto 1 million records.

Hevo was the most mature Extract and Load solution available, along with Fivetran and Stitch but it had better customer service and attractive pricing. Switching to a Modern Data Stack with Hevo as our go-to pipeline solution has allowed us to boost team collaboration and improve data reliability, and with that, the trust of our stakeholders on the data we serve.

– Juan Ramos, Analytics Engineer, Ebury

Check out how Hevo empowered Ebury to build reliable data products here.

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Best CDC Tools 2: IBM Infosphere

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.

To learn more about IBM Infosphere, visit here.

Best CDC Tools 3: Qlik Replicate (formerly Attunity Replicate)

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.

Qlik Replicate uses parallel streams to process big data payloads, making it a viable candidate for big data integration and analysis. This fully integrated CDC Data Replication tool enables you to easily monitor and replicate the data changes occurring in various corporate data sources.

With support for CDC for Oracle, CDC for SQL Server, CDC, and other mainframes, your team can benefit from a single tool that meets all their storage and real-time data integration needs.

To learn more about Qilk, visit here.

Best CDC Tools 4: Talend

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. With Talend, you can seamlessly work with complex process workflows by making use of the large suite of apps provided by Talend. You can manage the design, testing, and deployment of your integrations. It also provides a smooth drag and drops functionality along with an open studio feature for beginners.

To learn more about Talend, visit here.

Best CDC Tools 5: 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. 

Oracle GoldenGate leverages CDC Data Replication from multiple sources to provide real-time analysis. It is mainly used to optimize Oracle database replication for high-speed data movement, but it can also be used to replicate various sources, such as Microsoft, IBM DB2, MongoDB, MySQL, Spark, etc.

In addition to data replication, Oracle GoldenGate is also used for end-to-end monitoring of data processing solutions and does not require you to allocate or manage the computing environment.

To learn more about Oracle Golden Gate, visit here.

Best CDC Tools 6: Debezium

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.

To learn more about Debezium, visit here.

Best CDC Tools 7: Apache StreamSets

Apache StreamSets 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.

To learn more about StreamSets, visit here

Tacking Data Issues With CDC

It’s a good idea to consider the following before choosing the ideal CDC tool for your business:

  • Problem solving: Are possible issues settled fast?
  • Scale: Is the tool appropriate for every kind of database you use?
  • Post-resolution: Is it simple to examine and customize the given solution?
  • Support for database topology: Is the instrument adaptable? Is it capable of managing multiple master databases and replicas?
  • More connection topologies and SSH tunnels: Is SSH connectivity available? 
  • Use cases: Can all use cases, tables, column data kinds, database types, and so forth be handled by the tool?

Benefits of CDC Tools

As you are aware, CDC technologies gather information from several sources and import it into your data warehouse. Why then do you require this? For a variety of reasons, is the response.

Synchronizing replications

The act of tracking changes in a database and capturing them in real-time so that other systems may access the updated data is known as change data capture, or CDC. When real-time updates are required to keep a data warehouse or other downstream systems updated with changes in the source database, data warehousing or data integration scenarios are frequent use cases for CDC.

Low time consumption

The data warehouse’s data is always up to date as changes made to the transactional database are instantly recorded and transmitted there via CDC. This guarantees that reports and dashboards are consistently accurate and represent the most recent information while enabling analysts and other users to get the most recent data without having to wait for a batch process to complete.

Minimized costs 

You are proactively cutting expenses when you move data across WANs (Wide Area Networks) since CDC tools only deliver gradual updates.

Free resources for production

CDC technologies use logs to transport data, and log-based data transfers are incredibly effective ways to load data with the least amount of impact on production resources.

Reduced strain on the network 

CDC technologies free up network capacity by facilitating gradual uploads. CDCs also provide protection against fraud.

Choosing the Best CDC Tool

The implementation of appropriate change data capture methods can result in several benefits, including reduced network load, WAN data synchronization, expedited data replication procedures, and more.

An organization’s definition of a good change data-capturing tool may differ from another’s. Everything is dependent upon the data requirements and the data teams’ level of tool experience.


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.

Visit our Website to Explore 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 various sources to a data warehouse in real-time. 

Want to take Hevo for a spin? Sign Up for a 14-day free trial and experience the feature-rich Hevo suite first hand.

Share your thoughts on CDC tools in the comments below!

Nikhil Annadanam
Freelance Technical Content Writer, Hevo Data

Nikhil specializes in freelance writing within the data industry, delivering informative and engaging content related to data science by blending his problem solving ability.

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