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Compare Amazon Redshift vs. Teradata

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12,505 views|9,583 comparisons
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15,169 views|11,492 comparisons
Featured Review
Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: October 2021.
552,136 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:

"Changing from local servers to the cloud is very easy. It's so nice not to have to worry about physical servers.""It is quite simple to use and there are no issues with creating the tables.""Has a very user-friendly SQL editor and it's very easy to use the connectors.""The feature that we find most useful is the ability to do analytics on the fly.""I like the cost-benefit ratio, meaning that it is as easy to use as it is powerful and well-performing.""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 most valuable feature is the scalability, as it grows according to our needs.""Amazon Redshift is very fast. It has really good response times. It's very user-friendly."

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"The flexibility in design is very good.""The functionality of the solution is excellent.""The performance is great, we are able to query our data in one operation.""Teradata has good performance, the response times are very fast. Overall the solution is easy to use. When we do the transformation, we have all of our staging and aggregation data available.""It is a stable program.""I like this solution's ease of design and the fact that its performance is quite good. It is stable as well.""It's a pre-configured appliance that requires very little in terms of setting-up."

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"Amazon should provide more cloud-native tools that can integrate with Redshift like Microsoft's development tools for Azure.""It takes a lot of time to ingest and update the data.""It would be useful to have an option where all of the data can be queried at once and then have the result shown.""There are too many limitations with respect to concurrency.""In our experiments, the handling of unstructured data was not very smooth.""Improvement could be made in the area of streaming data.""We recently moved from the DC2 cluster to the RA3 cluster, which is a different node type and we are finding some issues with the RA3 cluster regarding connection and processing. There is room for improvement in this area. We are in talks with AWS regarding the connection issues.""The refreshment rate of data reaching Redshift from other sources should be faster."

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"I'm not sure about the unstructured data management capabilities. It could be improved.""An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly.""I would like to see more integration with many different types of data.""Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve.""The scalability could be better. The on-premises solution is always more complicated to scale.""It could use some more advanced analytics relating to structured and semi-structured data.""The solution is stable. However, there are times when we are using large amounts of data and we can see some latency issues."

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Pricing and Cost Advice
"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.""The price of the solution is reasonable. According to the RA3 cluster particularly, it provides 128 GB of storage with only four nodes. If you can manage your computations processes with the help of materialized views and proper queries. I think the IP clusters are very useful and overall fair for the price.""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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"The price of Teradata is on the higher side, and I think that it where they lose out on some of their business.""The solution requires a license.""The price of the solution could be reduced, it is expensive."

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Questions from the Community
Top Answer: Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different… more »
Top Answer: Redshift's Excel features are handy. Redshift spectrum allows you to directly query the data on an Excel sheet. Now, SQL Server also allows this, but Redshift has many more features.
Top Answer: Teradata has good performance, the response times are very fast. Overall the solution is easy to use. When we do the transformation, we have all of our staging and aggregation data available.
Top Answer: Teradata could improve by providing better training. For example, Oracle provides good overall training. It is not easy to find information on the internet.
Top Answer: We use Teradata in our data warehouse and we extract data. We have a data department that uses many tools for data extractions.
Average Words per Review
out of 30 in Data Warehouse
Average Words per Review
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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.

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Sample Customers
Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
Top Industries
Comms Service Provider31%
Logistics Company15%
Manufacturing Company8%
Computer Software Company29%
Comms Service Provider13%
Media Company10%
Financial Services Firm8%
Comms Service Provider31%
Energy/Utilities Company15%
Computer Software Company15%
Manufacturing Company8%
Computer Software Company31%
Comms Service Provider15%
Financial Services Firm12%
Energy/Utilities Company5%
Company Size
Small Business29%
Midsize Enterprise35%
Large Enterprise35%
Small Business29%
Midsize Enterprise11%
Large Enterprise61%
Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: October 2021.
552,136 professionals have used our research since 2012.

Amazon Redshift is ranked 4th in Cloud Data Warehouse with 13 reviews while Teradata is ranked 4th in Data Warehouse with 7 reviews. Amazon Redshift is rated 7.4, while Teradata 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 Teradata writes "Good performance, flexible, easy to tune queries, and scales well". Amazon Redshift is most compared with Snowflake, Microsoft Azure Synapse Analytics, Oracle Exadata, Oracle Autonomous Data Warehouse and Vertica, whereas Teradata is most compared with Oracle Exadata, Snowflake, SQL Server, Vertica and Microsoft Azure Synapse Analytics.

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.