Streamline your ETL data pipelines with efficient replication.
As your data volumes grow, your operations slow down.
Data ingestion - extraction of all underlying datasets, transformation, and loading in a storage destination (such as a PostgreSQL or MySQL database) - becomes sluggish, impacting processes down the line. Affecting your data analytics and time to insights.
Change Data Capture (CDC) makes data available faster, more efficiently, and without sacrificing data accuracy.
In this blog we are going to overview the 7 best change data capture tools of 2023:
Keboola is an end-to-end data platform as a service offering out-of-the-box features for a variety of data ops:
Oracle GoldenGate is a software solution that allows you to replicate, filter and transform data from one database to another database. The CDC replication is used across multitudes of sources which enables real-time analysis.
Primarily it is designed to replicate Oracle Database with optimized high-speed data movement. But it can also be used to replicate a range of sources, such as Microsoft SQL Server, IBM DB2, Teradata, MongoDB, MySQL, PostgreSQL, HDFS, Kafka, Spark, and cloud object stores across cloud providers.
Alongside data replication, Oracle GoldenGate is also used for end-to-end monitoring of stream data processing solutions without the need to allocate or manage compute environments.
Qlik Replicate is a data ingestion, replication, and streaming tool that captures changes in the source data or metadata as they occur and applies them to the target endpoint as soon as possible.
Qlik Replicate uses parallel threading to process Big Data loads, making it a viable candidate for Big Data analytics and integrations.
Data can be integrated across the major data solutions: from RDBMS (PostgreSQL, MySQL, Oracle, DB2, …), data warehouses, to cloud vendors (AWS, GCP, Azure).
IBM InfoSphere CDC is a replication solution that captures database changes as they happen and delivers the changes to target databases, message queues, or ETL solutions.
The unit of replication within IBM InfoSphere CDC is called a subscription and it contains mapping details that specify how data in a source data store is applied to a target data store.
Though IBM InfoSphere CDC connects to multiple data sources, it is best tailored to the suite of IBM data products.
Fivetran is a modern data integration solution, providing a fully automated data pipeline that centralizes data from any source and brings it to any warehouse.
Fivetran offers CDC as a feature and primarily uses log-based replication. By acquiring HVR, they can now also replicate databases and move data between on-premise solutions and the cloud, while being able to continuously analyze changes in data.
Recommended read: Fivetran alternatives.
Hevo Data Platform offers CDC replication out of the box through no-code data pipelines. Its main purpose is to integrate data from many sources into your data warehouse.
Hevo’s user-friendliness is high, but it comes at the expense of inferior monitoring abilities, and fewer customization features - what you see is what you get.
Talend is the enterprise-class open source CDC replication software. It offers connections and replications across a myriad of data source types within its easy-to-use interface.
Though Talend is extremely powerful as a CDC tool, it lacks version control as one of the features and it is definitely geared more towards huge enterprises.
The ultimate tool decision will depend heavily on your specific use case.
Ask yourself these questions when choosing the best CDC tool for your company:
Here’s how:
And these advantages are what hits Keboola’s CDC functionality out of the ballpark:
Keboola is the end-to-end data platform that streamlines and automates the heavy lifting behind data operations. The intuitive UI is built for ease and speed, meaning all your data processes can be deployed in a couple of clicks.
Keboola connects to over 250 sources and destinations, so you will never have to waste time writing change log capture systems. Quite the opposite, with Keboola you are able to save time, as all components used in CDC are maintained by Keboola. Meaning no more debugging custom scripts and relying on professional teams to take care of your database replication.
Sign up for our forever-free tier and see for yourself how easy it is to perform CDC in Keboola.
Change Data Capture (CDC) is a process of identifying changes in a database, data warehouse, or data lake and replicating those changes to another destination storage.
CDC intercepts which table rows have been changed (added, deleted, altered), and replicates those changes making the entire replication process orders much more efficient.
In modern data environments, where the volume of data keeps growing, CDC is the only viable data replication technique that scales with your data operations.
Integrating your data through CDC has multiple advantages:
You can dive deeper into how CDC achieves the multiple benefits for data operations with our in-depth guide.
Data Capture (CDC) identifies and processes only data that has changed, making that data available for further analysis.
A Slowly Changing Dimension (SCD) is a dimension that stores and manages relatively static data which can change slowly but unpredictably, rather than according to a regular schedule.
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