Compare Amazon Redshift vs. Snowflake

Amazon Redshift is ranked 3rd in Cloud Data Warehouse with 3 reviews while Snowflake is ranked 2nd in Cloud Data Warehouse with 3 reviews. Amazon Redshift is rated 8.6, while Snowflake is rated 8.6. The top reviewer of Amazon Redshift writes "Easy to set up and easy to connect the many tools that connect to it". On the other hand, the top reviewer of Snowflake writes "Stable with good technical support, but the solution is expensive on longrun". 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.
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Amazon Redshift Logo
12,402 views|8,925 comparisons
Snowflake Logo
14,640 views|10,804 comparisons
Most Helpful Review
Find out what your peers are saying about Amazon Redshift vs. Snowflake and other solutions. Updated: September 2019.
366,918 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 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.The ability to reload data multiple times at different times.

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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 distributed architecture of Snowflake has the capacity to process huge datasets faster and allows us to scale up and down according to our needs.

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Cons
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.

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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.Snowflake has to improve their spatial parts since it doesn't have much in terms of geo-spatial queries.

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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.Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive.

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366,918 professionals have used our research since 2012.
Ranking
3rd
Views
12,402
Comparisons
8,925
Reviews
3
Average Words per Review
195
Avg. Rating
8.7
2nd
Views
14,640
Comparisons
10,804
Reviews
3
Average Words per Review
527
Avg. Rating
8.7
Top Comparisons
Compared 21% of the time.
Compared 18% of the time.
Compared 14% of the time.
Compared 26% of the time.
Compared 15% of the time.
Also Known As
Snowflake Computing
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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 Provider29%
Retailer14%
Recruiting/Hr Firm14%
Pharma/Biotech Company14%
VISITORS READING REVIEWS
Software R&D Company22%
Financial Services Firm13%
Manufacturing Company10%
Media Company8%
VISITORS READING REVIEWS
Software R&D Company24%
Financial Services Firm13%
Insurance Company10%
Manufacturing Company8%
Find out what your peers are saying about Amazon Redshift vs. Snowflake and other solutions. Updated: September 2019.
366,918 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.
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