Integration with AWS CloudTrail provides auditing to help you meet compliance requirements. Additionally, you can isolate your network within a virtual private cloud (VPC) and link it to your existing IT infrastructure via VPN. Redshift's end-to-end encryption can be tailored to fit your security requirements. While Redshift addresses security and compliance in a comprehensive fashion, Snowflake takes a nuanced approach. The right warehouse will deliver a better long-term ROI by consistently improving the speed, efficiency, and accuracy of data-driven action. When comparing the two platforms, consider what resources you need to support your business' specific data volume, processing, and analysis requirements. Editions are determined by volume and types of data, geographical regions, and AWS or Azure platform. Snowflake offers five editions with additional features tied to each ascending level of price, so you can opt out of the features that aren't a good fit for your business. Redshift boasts the potential for deep discounts over the long term if you commit to a one- or three-year contract, and offers the option to pay an hourly rate (by type and nodes in each cluster) or by the quantity of bytes scanned (a feature called Spectrum). Redshift offers users a dedicated daily amount of concurrency scaling, charging by the second once usage exceeds it concurrency scaling is automatically included with all editions of Snowflake. Snowflake separates compute usage from storage in their pricing structure, while Redshift bundles the two together. This said - do your homework! Pricing: Don't stop at the sticker price consider long-term benefitsīoth Snowflake and Redshift offer on-demand pricing, but package associated features differently. Redshift is a solid cost-efficient solution for enterprise-level implementations.
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