When you data scales until a few hundred TB’s.When cost is important: spot instances.When compute elasticity is important ( auto scaling on tasks).When you need a transient cluster, for night or hourly automation.When you want analize massive amount of data ( spectrum).When you data type are simple, i.e not Arrays, or Structs.When you need the data relatively hot for analytics such as BI.But with the serverless launch, Amazon Redshift has taken the lead in the race. With its SQL on Storage architecture, Snowflake makes it easy to adopt a cloud-based data warehouse if you are moving from on-prem installations. If its performance and ease-of-use, Snowflake is the way to go. The Amazon Redshift Serverless launch might tilt the balance towards Redshift over Snowflake - a decision influenced by cost, integration, and security. Verdict: Amazon Redshift was always a clear winner here with the platform advantage it gets with AWS. The customer doesn't have to worry about establishing an alternate system for their data warehouse environment. The native security, data management, access control features of AWS complement the Amazon Redshift service. And with the launch of the serverless version of Redshift, AWS has taken its integration and platform advantage by several notches over Snowflake. Snowflake - IntegrationĪmazon Redshift outscores Snowflake by miles here with the choices of native integration with other data analytics lifecycle services like Kinesis, Glue, EMR, Athena, QuickSight. Verdict: Amazon Redshift emerges as a clear winner in short-term and long-term cost benefits.Īmazon Redshift vs. The licensing cost of Snowflake tilts the balance towards Amazon Redshift. The standard Amazon Redshift service will cost probably 70% of a like-to-like Snowflake setup, and if you choose to go with Redshift Spectrum (taking a performance hit), your cost to use Redshift will be around 50% of Snowflake. Though Snowflake has decoupled compute from storage, Amazon Redshift continues to be a cost-effective service in the long run. Verdict: Snowflake is a purpose-built cloud-based data warehouse platform with a fantastic UI/UX experience and flexibility of implementation. You can launch several data warehouses on the same storage layer (as compute and storage layers are decoupled in Snowflake), which you cannot do with Redshift. The user acceptance and adaptability rate was very high for Snowflake - credit to the intuitive UI/UX and ease of implementation and replication. It was the time Snowflake started getting some attention, and in just 3 years, Snowflake has gone to become one of the important tech companies in the world with projected annual revenue of $1.2B. I still remember meeting some of the early members of the Snowflake team at their booth in AWS Reinvent 2017. But over the years, the Redshift product team at AWS has done a fantastic job improving the service's reliability and performance, making Redshift a true petabyte-scale cloud-based data warehouse solution in the market.īut you cannot ignore the tremendous growth of Snowflake in a very short period. I am talking about 2013, and I experienced these issues firsthand as a customer and partner of AWS. Probably one of the first true cloud-based data warehouse services in the market, Amazon Redshift faced some early performance issues and ease of use. It's horses for courses performance over cloud-native integration.Īmazon Redshift vs. The recent launch of Redshift Spectrum is more comparable with Snowfkale's service, but it is still considerably behind Snowflake in performance and ease of use. A SQL query engine built on a storage layer (like S3) can handle structured and semi-structured data. Redshift data warehouse, by design, is launched as a cluster of nodes with compute and storage inbuilt in the same hardware architecture.Ĭontrary to Redshift, Snowflake's revolutionary design decouples the compute from storage. Though most of the global Snowflake data warehouse installations run on AWS and are a strategic ISV partner, Snowflake and Amazon Redshift compete in the same space.īefore we dive in, let's see what Snowflake and Redshift data warehouses are and their USPs.Īmazon Redshift vs. Amazon Redshift Serverless is believed to give AWS a massive edge over its fiercest competitor - Snowflake. This service is set to redefine the data warehouse world if it lives up to its potential. One significant and strategic launch was the Amazon Redshift Serverless service by AWS. I made a detailed article on the launch, which you can access here. Amazon Web Services (AWS) launched a slew of serverless data analytics services in the recently concluded AWS Reinvent 2021.
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