Compare Amazon Redshift vs. Teradata

Amazon Redshift is ranked 4th in Cloud Data Warehouse with 8 reviews while Teradata is ranked 3rd in Relational Databases with 12 reviews. Amazon Redshift is rated 7.8, while Teradata is rated 8.0. The top reviewer of Amazon Redshift writes "Good performance and integrates well with our Tableau solution". On the other hand, the top reviewer of Teradata writes "Cuts time to process huge amounts of data with efficient analytical queries". Amazon Redshift is most compared with Snowflake, Teradata and Oracle Exadata, whereas Teradata is most compared with SQL Server, Oracle Exadata and Amazon Redshift.
Cancel
You must select at least 2 products to compare!
Amazon Redshift Logo
13,266 views|9,506 comparisons
Teradata Logo
21,001 views|15,985 comparisons
Most Helpful Review
Find out what your peers are saying about Micro Focus, Snowflake Computing, Microsoft and others in Cloud Data Warehouse. Updated: December 2019.
391,616 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 »

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.It handles large amounts of information with a linear performance increase, in relation to a HW investment.It has a solid set of tools and consulting services.It has massive parallel processing ability to do large amounts of concurrent querying.It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs.Cuts time to process huge amounts of data with efficient analytical queries.

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 »

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.It needs a teaching web site with more training on third-party tools used for BI.We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata.There is a need to improve performance in high transaction processes, as well as the reporting system.Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required).Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect.

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 »

The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space.We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise.Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world.Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud.It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors.

Read more »

report
Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
391,616 professionals have used our research since 2012.
Ranking
4th
Views
13,266
Comparisons
9,506
Reviews
6
Average Words per Review
274
Avg. Rating
7.7
3rd
Views
21,001
Comparisons
15,985
Reviews
12
Average Words per Review
213
Avg. Rating
8.1
Top Comparisons
Compared 21% of the time.
Compared 20% of the time.
Compared 13% of the time.
Compared 21% of the time.
Compared 18% of the time.
Compared 12% of the time.
Learn
Amazon
Teradata
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.

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

Offer
Learn more about Amazon Redshift
Learn more about Teradata
Sample Customers
Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449Netflix
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%
REVIEWERS
Comms Service Provider43%
Manufacturing Company14%
Logistics Company14%
Financial Services Firm14%
VISITORS READING REVIEWS
Software R&D Company39%
Financial Services Firm13%
Media Company8%
Comms Service Provider8%
Find out what your peers are saying about Micro Focus, Snowflake Computing, Microsoft and others in Cloud Data Warehouse. Updated: December 2019.
391,616 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.