Compare Snowflake vs. Teradata

Snowflake is ranked 1st in Data Warehouse with 12 reviews while Teradata is ranked 4th in Data Warehouse with 3 reviews. Snowflake is rated 8.4, while Teradata is rated 8.0. The top reviewer of Snowflake writes "Fast, convenient and requires almost no administration". On the other hand, the top reviewer of Teradata writes "It is stable but it should be more cloud-friendly and scalability is poor". Snowflake is most compared with Microsoft Azure SQL Data Warehouse, Apache Hadoop, Vertica, Amazon Redshift and Oracle Autonomous Data Warehouse, whereas Teradata is most compared with SQL Server, Oracle Exadata, Amazon Redshift, Apache Hadoop and Oracle Database. See our Snowflake vs. Teradata report.
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22,166 views|16,552 comparisons
Most Helpful Review
Find out what your peers are saying about Snowflake vs. Teradata and other solutions. Updated: July 2020.
426,265 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:

From a data warehouse perspective, it's an excellent all-round solution. It's very complete.The snapshot feature is good, the rollback feature is good and the interface is user-friendly.The most valuable feature is the snapshot database. In one second, you can just take a snapshot of the database for test purposes.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 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.

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It is a stable program.The most valuable features are the Shared-nothing architecture and data protection functionality.The feature that we find most valuable is its ability to perform Massive Parallel Processing.

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The user interface continues to be an issue, especially when we need to get data out of Snowflake. It's very easy to get data in, but it's not too easy to get it out or extract it.Availability is a problem.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.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.

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An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly.The user interface needs to be improved.I would like to see an improved Knowledge Base on the web.

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Pricing and Cost Advice
It is not cheap.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.

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The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space.

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out of 32 in Data Warehouse
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out of 32 in Data Warehouse
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Popular Comparisons
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Also Known As
Snowflake Computing
Snowflake Computing

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.

Teradata's portfolio of big data analytic solutions, integrated marketing applications, and services help organizations gain a sustainable competitive advantage with data.

Learn more about Snowflake
Learn more about Teradata
Sample Customers
Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White OpsNetflix
Top Industries
Software R&D Company39%
Comms Service Provider10%
Media Company6%
Financial Services Firm6%
Comms Service Provider38%
Energy/Utilities Company13%
Financial Services Firm13%
Logistics Company13%
Software R&D Company46%
Media Company9%
Comms Service Provider9%
Financial Services Firm6%
Company Size
Small Business21%
Midsize Enterprise14%
Large Enterprise64%
Small Business4%
Midsize Enterprise12%
Large Enterprise85%
Small Business23%
Midsize Enterprise10%
Large Enterprise67%
Find out what your peers are saying about Snowflake vs. Teradata and other solutions. Updated: July 2020.
426,265 professionals have used our research since 2012.

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