Postgres CDC (Change Data Capture) enables the continuous extraction and replication of data changes in PostgreSQL databases, allowing real-time data synchronization and analytics.
Quix enables you to sync to Apache Kafka from Postgres CDC, in seconds.
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Now that data volumes are increasing exponentially, the ability to process data in real-time is crucial for industries such as finance, healthcare, and e-commerce, where timely information can significantly impact outcomes. By utilizing advanced stream processing frameworks and in-memory computing solutions, organizations can achieve seamless data integration and analysis, enhancing their operational efficiency and customer satisfaction.
Postgres CDC is a process of capturing and interpreting change events (insert, update, delete) from a PostgreSQL database, typically used to keep different systems in sync with minimal latency. It’s widely used to enable real-time analytics and support event-driven architectures.
Postgres CDC is ideal for syncing ongoing database changes to downstream systems like data lakes or real-time analytics platforms, ensuring they have the latest data without delay. It is particularly beneficial in use cases where businesses need to react quickly to data changes without manual batch updates.
Organizations often face challenges with Postgres CDC, as it may require complex configurations and handling of schema changes or data transformations during streaming. The resource-intensive process can also impact the performance of the primary database, making it crucial to carefully manage and optimize CDC processes for efficient real-time data handling.