Make the Switch to Efficient, Real-Time ETL
Change Data Capture for Databases
Your business transactions processed in relational databases are critical input to understand the state of your business operations. However, traditionally they are locked in the databases and only accessible through SQL queries. Batch ETL operations using these queries cannot support fast operational decision making or continuous data synchronization needs for hybrid cloud architectures.
Change Data Capture with Striim
Collecting this data is only the start, however. To truly work with change data, the whole Striim platform is optimized to work with change, including integrating, processing, delivering, analyzing, and visualizing the changes with Real-Time ETL. Crucially, when applying changes to target databases, or data warehouses, Striim will also respect the ordering and transactionality of those changes.
Striim is the only end-to-end platform to provide ingestion and processing of real-time change data in a single platform, together with analytics, validation, visualization and monitoring.
Moving change data continuously, as new database transactions occur, enables you to analyze up-to-date information and respond to time-sensitive issues immediately. By using Striim’s log-based CDC capabilities you can minimize overhead on the source systems, extending hardware lifetime, and ensure timely data processing without facing batch window limitations.
Moving only the change data, and doing so continuously throughout the day, allows better network bandwidth utilization and drives communication cost savings.
Popular CDC Use Cases
Striim’s CDC and Real-Time ETL capabilities enable zero data loss for any replicated environment by monitoring the replication process and detecting any latency and consistency issues. The CDC feature, together with Striim’s streaming analytics capabilities, can compare the sources and targets at the transaction level continuously as transactions are replicated.