We performed a comparison between Amazon Redshift and Snowflake Analytics based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It's very easy to migrate from other databases to Redshift. There are migration tools dedicated for this purpose, enabling migration from other databases like MS SQL directly to Redshift. The majority of the scripts will be automatically transposed."
"Easy to build out our snowflake design and load data."
"The feature that we find most useful is the ability to do analytics on the fly."
"The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good."
"The most valuable feature of Redshift is its cluster."
"Amazon Redshift offers a relatively flexible structure...I rate the technical support a nine out of ten."
"The stability of Amazon Redshift is good."
"It allows you write complex queries and perform row by row processes."
"It's not necessary to use a physical server."
"One of the valuable features is the solution’s time travel capability. The solution is highly stable. The solution is highly scalable. The initial setup is straightforward, and the deployment process is quick and efficient. I recommend the solution. Overall, I rate it a perfect ten."
"Very good flexibility and it offers computation completely decoupled from the storage."
"The performance has been good."
"Scalability-wise, I rate the solution a ten out of ten."
"Deployment is straightforward as it's a SaaS product. No maintenance required."
"The computational power of Snowflake is very good."
"The most valuable feature of Snowflake Analytics is its performance."
"This solution lacks integration with non-AWS sources."
"Should be made available across zones, like other Multi-AZ solutions."
"The technical support should be better in terms of their knowledge, and they should be more customer-friendly."
"Infinite storage is available in Snowflake and is not available in Redshift."
"It lacks a few features which can be very useful, such as stored procedures"
"In the solution, user-based access is quite hard. In general, certain permissions are difficult to manage."
"For people who struggle with IAM or role-based management, the setup isn't easy."
"There are too many limitations with respect to concurrency."
"I cannot comment on the product's stability because we are still struggling with its performance."
"Snowflake should include a WHERE clause for building data pipelines."
"One area that could benefit from enhancement is the user interface for more visual ESM features."
"The platform's data governance space needs more capability."
"The solution’s interface is good but it could be improved."
"Moving data from legacy systems to Snowflake is not that easy. There are some cases where processors are not actually compatible with Snowflake."
"A room for improvement in Snowflake Analytics is Spark, particularly its connector for Spark. An additional feature I'd like to see in the next release of the solution is built-in analytics."
"End-to-end execution of jobs isn't possible with Snowflake, which means we have to do some customization."
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 61 reviews while Snowflake Analytics is ranked 6th in Cloud Data Warehouse with 30 reviews. Amazon Redshift is rated 7.8, while Snowflake Analytics is rated 8.4. The top reviewer of Amazon Redshift writes "Provides one place where we can store data, and allows us to easily connect to other services with AWS". On the other hand, the top reviewer of Snowflake Analytics writes "A scalable tool useful for data lake and data mining processes". Amazon Redshift is most compared with Teradata, Snowflake, AWS Lake Formation, Vertica and Microsoft Azure Synapse Analytics, whereas Snowflake Analytics is most compared with Azure Data Factory, Adobe Analytics, Mixpanel, Amplitude and Glassbox. See our Amazon Redshift vs. Snowflake Analytics report.
See our list of best Cloud Data Warehouse vendors.
We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
