Compare Amazon Redshift vs. Snowflake

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Amazon Redshift Logo
13,842 views|9,814 comparisons
Snowflake Logo
30,694 views|20,985 comparisons
Most Helpful Review
Find out what your peers are saying about Amazon Redshift vs. Snowflake and other solutions. Updated: January 2021.
455,164 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
"It allows you write complex queries and perform row by row processes.""It allows for the storage of huge amounts of data.""The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it.""The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing.""The initial setup of this solution is straightforward.""The product is relatively easy to use because there is no indexing and no partitions.""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 processing of data is very fast."

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"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.""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.""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 initial setup is straightforward. You just need to follow the documentation.""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.""It has great flexibility whenever we are loading data and performs ELT (extract, load, transform) techniques instead of ETL.""I like the idea that you can assign roles and responsibilities, limiting access to data.""The most valuable feature is the snapshot database. In one second, you can just take a snapshot of the database for test purposes."

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Cons
"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.""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.""The speed of the solution and its portability needs improvement.""Running parallel queries results in poor performance and this needs to be improved.""The product could be improved by making it more flexible.""Pricing is one of the things that it could improve. It should be more competitive.""It would be useful to have an option where all of the data can be queried at once and then have the result shown.""It takes a lot of time to ingest and update the data."

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"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.""Support needs improvement, as it can take several days before you get some initial support.""The solution should offer an on-premises version also. We have some requirements where we would prefer to use it as a template.""The solution could improve the user interface and add functionality to the system.""Maybe there could be some more connectors to other systems, but this is what they are constantly developing anyway.""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.""If you go with one cloud provider, you can't switch.""Availability is a problem."

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Pricing and Cost Advice
"It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20.""The best part about this solution is the cost.""The part that I like best is that you only pay for what you are using.""My customers have implementations that cost about $500 a month for a very small one. I also have a customer with a monthly invoice of about $25,000 USD.""At the moment, pricing is a little bit on the higher side, although it depends on the size of the company."

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"Pricing can be confusing for customers.""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.""You pay based on the data that you are storing in the data warehouse and there are no maintenance costs.""It is not cheap.""The pricing for Snowflake is competitive.""On average, with the number of queries that we run, we pay approximately $200 USD per month.""Pricing is approximately $US 50 per DB. Terabyte is around $US 50 per month.""The price of Snowflake is very reasonable."

More Snowflake Pricing and Cost Advice »

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Questions from the Community
Top Answer: The processing of data is very fast.
Top Answer: It would be useful to have an option where all of the data can be queried at once and then have the result shown. As it is now, when we run a query and we are looking at the results, part of the data… more »
Top Answer: We use Amazon S3 along with RedShift for storing our data. The data comes from various sources, including our client and third-parties. We get the data as an S3 file and then load it into RedShift… more »
Top Answer: Apache Hadoop is for data lake use cases. But getting data out of Hadoop for meaningful analytics is indeed need quite an amount of work. by either using spark/Hive/presto and so on. The way i look at… more »
Top Answer: The most valuable feature is the snapshot database. In one second, you can just take a snapshot of the database for test purposes.
Ranking
3rd
Views
13,842
Comparisons
9,814
Reviews
11
Average Words per Review
483
Rating
7.6
1st
Views
30,694
Comparisons
20,985
Reviews
21
Average Words per Review
531
Rating
8.2
Popular Comparisons
Compared 14% of the time.
Compared 12% of the time.
Compared 7% of the time.
Compared 6% of the time.
Compared 6% of the time.
Also Known As
Snowflake Computing
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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 Provider36%
Logistics Company18%
Manufacturing Company9%
Retailer9%
VISITORS READING REVIEWS
Computer Software Company36%
Media Company15%
Comms Service Provider11%
Financial Services Firm5%
REVIEWERS
Computer Software Company33%
Manufacturing Company22%
Media Company11%
Healthcare Company11%
VISITORS READING REVIEWS
Computer Software Company33%
Comms Service Provider15%
Financial Services Firm6%
Media Company5%
Company Size
REVIEWERS
Small Business25%
Midsize Enterprise43%
Large Enterprise32%
REVIEWERS
Small Business28%
Midsize Enterprise16%
Large Enterprise56%
VISITORS READING REVIEWS
Small Business4%
Midsize Enterprise19%
Large Enterprise77%
Find out what your peers are saying about Amazon Redshift vs. Snowflake and other solutions. Updated: January 2021.
455,164 professionals have used our research since 2012.

Amazon Redshift is ranked 3rd in Cloud Data Warehouse with 11 reviews while Snowflake is ranked 1st in Cloud Data Warehouse with 21 reviews. Amazon Redshift is rated 7.6, while Snowflake is rated 8.2. The top reviewer of Amazon Redshift writes "Scales according to our needs, which saves a lot in terms of upfront costs". On the other hand, the top reviewer of Snowflake writes "Fast, convenient and requires almost no administration". Amazon Redshift is most compared with Oracle Exadata, Teradata, Microsoft Azure Synapse Analytics, Oracle Autonomous Data Warehouse and VMware Tanzu Greenplum, whereas Snowflake is most compared with Microsoft Azure Synapse Analytics, Firebolt, Vertica, Teradata and Oracle Autonomous Data Warehouse. See our Amazon Redshift vs. Snowflake report.

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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.