We performed a comparison between Amazon Redshift and Teradata IntelliFlex based on real PeerSpot user reviews.
Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It's scalable because it's on the cloud."
"The most valuable features of Amazon Redshift are that its fast and efficient. We have lots of TBs of data and it's very fast."
"I find the most valuable features to be the MPP style of processing, which mostly all of the data warehouses provide. The ability to integrate all other AWS services, such as NSS and S3, with little effort is very helpful. The service is well maintained, there are update patches frequently."
"The product offers good support for the data lake."
"Redshift has an advantage when it comes to administration, making it easier to manage and collaborate."
"The stability of Amazon Redshift is good."
"It allows you write complex queries and perform row by row processes."
"The most valuable feature is the scalability, as it grows according to our needs."
"The product's scalability is great. Scalability-wise, I rate the solution a ten out of ten."
"IntelliFlex is easy to scale - one of its best features is that you can upscale it to the size you want."
"Intelliflex is very scalable. In fact, scalability has improved 100 times by Intelliflex, in my personal opinion."
"The solution's banking model, called FSLDM (Financial Services Logical Data Model), is sophisticated and good."
"It is very stable. It's 100% uptime. Speed and resilience are one of the greatest features of this product. In almost twenty years we've never had downtime, except for outages for patches and upgrades. We've never had a system failure in twenty years."
"I would like to improve the pricing and the simplicity of using this solution."
"Running parallel queries results in poor performance and this needs to be improved."
"We are using third-party tools to integrate Amazon Redshift, they should create their own interface on their own for it to be easily connected on the AWS itself."
"Query compilation time needs a lot of improvement for cases where you are generating queries dynamically."
"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."
"The product could be improved by making it more flexible."
"It would be useful to have an option where all of the data can be queried at once and then have the result shown."
"The solution has four maintenance windows so, when it comes to stability, I think it would be better to decrease their number."
"They should add more connectors to different platforms."
"The only issue our company has with Teradata IntelliFlex is that it is not cost-effective because of the way the product has been designed."
"The solution’s pricing, scalability, and technical support response time could be improved."
"The initial setup is complex because there are a lot of factors that come into play, including the amount of software and applications that require access."
"The reporting side wasn't very good in the past, but with the latest versions, it's getting better. Still, the friendliness of the PDC reporting and functionality needs to be improved."
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 58 reviews while Teradata IntelliFlex is ranked 11th in Data Warehouse with 5 reviews. Amazon Redshift is rated 7.8, while Teradata IntelliFlex is rated 8.8. The top reviewer of Amazon Redshift writes "Provides one place where we can store data, and allows us to easily connect to other services with AWS". On the other hand, the top reviewer of Teradata IntelliFlex writes "A tool that provides high performance and speed to its users, along with an exceptional scalability option". Amazon Redshift is most compared with AWS Lake Formation, Snowflake, Teradata, Vertica and Microsoft Azure Synapse Analytics, whereas Teradata IntelliFlex is most compared with Teradata and Oracle Exadata. See our Amazon Redshift vs. Teradata IntelliFlex report.
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We monitor all 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.
