Flink CDC turns YugabyteDB into a change-data-capture source for Apache Flink, so you can stream every insert, update, and delete to Kafka, a data lake, or another database in real time. This blog explains how Flink CDC works and the changes that led to the YugabyteDB integration reaching Tech Preview.
Implementing CDC using Spring Boot, Debezium’s embedded engine, and YugabyteDB offers a compelling strategy for real-time data synchronization without the complexities of a dedicated middleware. Discover why this embedded approach is ideal for scenarios that require simplicity, low latency, and reduced operational complexity.
Discover how integrating YugabyteDB with Apache Hudi transforms data lakehouse capabilities, offering unparalleled real-time processing and scalability. This blend of technologies not only manages vast data volumes efficiently but also ensures transactional consistency.
YugabyteDB’s Change Data Capture (CDC) capabilities are pivotal for streaming applications. A large brokerage firm achieved significant performance gains with Yugabyte CDC, while a major streaming media company utilized CDC to migrate from MySQL, enhancing system resilience and service delivery.
YugabyteDB 2.20 revolutionizes cloud-native applications with its advanced change data capture, ensuring transactional consistency for a broader range of use cases. This latest release also introduces significant enhancements like OIDC-based authentication and online point-in-time recovery, reinforcing database resilience and performance.
In this blog post we will walk through, in five easy steps, how to integrate YugabyteDB Change Data Capture with Google Big Query and the benefits of doing so.
Chaos testing, mirroring elite athletes’ rigorous training, pushes systems to their limits to ensure resilience. Dive into our case study using YugabyteDB’s CDC feature to see this in action, highlighting our dedication to a building a reliable and resilient database solution.
Explore the different data replication options available with YugabyteDB including synchronous, asynchronous, read replicas, xCluster, and change data capture (CDC).
Learn how to integrate YugabyteDB with Amazon Redshift database using the Amazon Web Services(AWS) Managed Kafka Stream (MSK) and YugabyteDB Change Data Capture (CDC) connector.
Learn how to integrate YugabyteDB Change Data Capture with the Materialize database in our detailed guide. Combine YugabyteDB and Materialize to create a robust data pipeline for operational and analytical workloads with low latency and high scalability. Unlock the potential to build scalable applications that cater to diverse use cases.
