Snowflake’s pay-for-use service allows organizations to scale up or down based on the volume of data stored and the compute time. However, if you need access to replicated data in Snowflake as soon as possible to meet business requirements, it could come at a cost.
This paper breaks down Snowflake’s consumption-based pricing model into four components and explains how to configure replication at each level to achieve minimal latency with lower costs.
In addition, you’ll learn:
- How our log-based CDC technology lowers Snowflake consumption costs, including storage, compute processing, cloud services, and serverless features
- How you can leverage built-in optimizations are used to limit additional cloud services charges
- Techniques our customers deploy to minimize latency without increasing costs