Key considerations when choosing a CDC solution

When choosing a change data capture (CDC) solution, several key considerations come into play. The type of CDC is crucial, with log-based being the most accurate and efficient option for high-throughput data movement, trigger-based being less preferred due to its impact on database processing, and difference-based being suitable only for small data sets. The architecture of the CDC solution should be able to handle the volume of changes, with distributed systems offering better performance. A broad library of connectors is necessary to automate connections to various databases and applications, while managed services and support can eliminate time and expense associated with in-house development and maintenance. Security features such as enterprise-level security, encryption, anonymization, transparency, and granular role-based access control are also essential considerations. Ultimately, a CDC solution like Fivetran that offers log-based CDC, broad connectors, enterprise-grade security and governance features, and managed services can help organizations move their data quickly and securely into the cloud.

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