A key component to data integration best practices, change data capture (CDC) is based on the identification, capture, and delivery of the changes made to enterprise data sources. CDC helps minimize access to both source and target systems as well as supports the ability to keep a record of changes for compliance, and is a key component of many data processes.
Optimal CDC solutions are efficient, robust, provide real-time information, support many data sources, and are cost-efficient.
Here are the winners of the 2016 DBTA Readers’ Choice Awards for Best Change Data Capture Solution:
Winners' Circle by Shimon Alon, CEO, Attunity
To manage growing data volumes and pressing SLAs, many companies are leveraging Apache Kafka and award-winning Attunity Replicate with next-generation change data capture (CDC) for streaming data ingest and processing ... read on.
BackOffice Associates HiT Software DBMoto