Compare Amazon Redshift vs. Snowflake

Amazon Redshift is ranked 4th in Cloud Data Warehouse with 8 reviews while Snowflake is ranked 1st in Cloud Data Warehouse with 10 reviews. Amazon Redshift is rated 7.8, while Snowflake is rated 8.2. The top reviewer of Amazon Redshift writes "Good performance and integrates well with our Tableau solution". On the other hand, the top reviewer of Snowflake writes "Fast, convenient and requires almost no administration". Amazon Redshift is most compared with Snowflake, Teradata and Oracle Exadata, whereas Snowflake is most compared with Apache Hadoop, Microsoft Azure SQL Data Warehouse and Amazon Redshift. See our Amazon Redshift vs. Snowflake report.
Cancel
You must select at least 2 products to compare!
Amazon Redshift Logo
13,459 views|9,664 comparisons
Snowflake Logo
18,513 views|13,119 comparisons
Most Helpful Review
Find out what your peers are saying about Amazon Redshift vs. Snowflake and other solutions. Updated: January 2020.
396,296 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
The processing of data is very fast.In terms of valuable features, I like the columnar storage that Redshift provides. The storage is one of the key features that we're looking for. Also, the data updates and the latency between the data-refreshes.The product is relatively easy to use because there is no indexing and no partitions.The initial setup of this solution is straightforward.The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing.The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it.It allows you write complex queries and perform row by row processes.It allows for the storage of huge amounts of data.

Read more »

I like the idea that you can assign roles and responsibilities, limiting access to data.It has great flexibility whenever we are loading data and performs ELT (extract, load, transform) techniques instead of ETL.The snapshot feature is good, the rollback feature is good and the interface is user-friendly.The thing I find most valuable is that scalability, space storage, and computing power is separate. When you scale up, it is live from one second to the next — constantly available as you scale — so there is no downtime or interruption of services.The initial setup is straightforward. You just need to follow the documentation.They separate compute and storage. You can scale storage independently of the computer, or you can scale computing independently of storage. If you need to buy more computer parts you can add new virtual warehouses in Snowflake. Similarly, if you need more storage, you take more storage. It's most scalable in the database essentially; typically you don't have this scalability independence on-premises.The most valuable features are the clustering, LS50, being able to change the size, the pay per use feature, the flexibility with many different sources and analytic applications.As long as you don't need to worry about the storage or cost, this solution would be one of the best ones on the market for scalability purposes.

Read more »

Cons
It would be useful to have an option where all of the data can be queried at once and then have the result shown.Pricing is one of the things that it could improve. It should be more competitive.The product could be improved by making it more flexible.Running parallel queries results in poor performance and this needs to be improved.The speed of the solution and its portability needs improvement.Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions.In the next release, a pivot function would be a big help. It could save a lot of time creating a query or process to handle operations.Should be made available across zones, like other Multi-AZ solutions.

Read more »

If you go with one cloud provider, you can't switch.They do have a native connector to connect with integration tools for loading data, but it would be much better to have the functionality built-in.Availability is a problem.Maybe there could be some more connectors to other systems, but this is what they are constantly developing anyway.The solution could improve the user interface and add functionality to the system.The solution should offer an on-premises version also. We have some requirements where we would prefer to use it as a template.Support needs improvement, as it can take several days before you get some initial support.There are some stored procedures that we've had trouble with. The solution also needs to fine-tune the connectors to be able to connect into the system source.

Read more »

Pricing and Cost Advice
The best part about this solution is the cost.It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20.Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive.

Read more »

You pay based on the data that you are storing in the data warehouse and there are no maintenance costs.The whole licensing system is based on credit points. You can also make a license agreement with the company so that you buy credit points and then you use them. What you do not use in one year can be carried over to the next year.Pricing can be confusing for customers.

Read more »

report
Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
396,296 professionals have used our research since 2012.
Ranking
4th
Views
13,459
Comparisons
9,664
Reviews
8
Average Words per Review
324
Avg. Rating
7.9
1st
Views
18,513
Comparisons
13,119
Reviews
10
Average Words per Review
642
Avg. Rating
8.2
Top Comparisons
Compared 20% of the time.
Compared 20% of the time.
Compared 13% of the time.
Compared 23% of the time.
Compared 12% of the time.
Also Known As
Snowflake Computing
Learn
Amazon
Snowflake Computing
Overview

Amazon Redshift is a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. Customers can start small for just $0.25 per hour with no commitments or upfront costs and scale to a petabyte or more for $1,000 per terabyte per year, less than a tenth of most other data warehousing solutions.

Traditional data warehouses require significant time and resource to administer, especially for large datasets. In addition, the financial cost associated with building, maintaining, and growing self-managed, on-premise data warehouses is very high. Amazon Redshift not only significantly lowers the cost of a data warehouse, but also makes it easy to analyze large amounts of data very quickly.

Amazon Redshift gives you fast querying capabilities over structured data using familiar SQL-based clients and business intelligence (BI) tools using standard ODBC and JDBC connections. Queries are distributed and parallelized across multiple physical resources. You can easily scale an Amazon Redshift data warehouse up or down with a few clicks in the AWS Management Console or with a single API call. Amazon Redshift automatically patches and backs up your data warehouse, storing the backups for a user-defined retention period. Amazon Redshift uses replication and continuous backups to enhance availability and improve data durability and can automatically recover from component and node failures. In addition, Amazon Redshift supports Amazon Virtual Private Cloud (Amazon VPC), SSL, AES-256 encryption and Hardware Security Modules (HSMs) to protect your data in transit and at rest.

As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use. Amazon Redshift lets you pay as you go. You can even try Amazon Redshift for free.

Snowflake provides a data warehouse built for the cloud, delivering a solution capable of solving problems for which legacy, on-premises and cloud data platforms were not designed.

Offer
Learn more about Amazon Redshift
Learn more about Snowflake
Sample Customers
Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
Top Industries
REVIEWERS
Comms Service Provider33%
Software R&D Company11%
Retailer11%
Recruiting/Hr Firm11%
VISITORS READING REVIEWS
Software R&D Company36%
Media Company13%
Comms Service Provider8%
Financial Services Firm7%
VISITORS READING REVIEWS
Software R&D Company38%
Financial Services Firm8%
Retailer7%
Comms Service Provider7%
Company Size
REVIEWERS
Small Business24%
Midsize Enterprise38%
Large Enterprise38%
REVIEWERS
Small Business20%
Midsize Enterprise20%
Large Enterprise60%
VISITORS READING REVIEWS
Small Business3%
Midsize Enterprise11%
Large Enterprise86%
Find out what your peers are saying about Amazon Redshift vs. Snowflake and other solutions. Updated: January 2020.
396,296 professionals have used our research since 2012.
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.