Mike WalkerDirector - Big Data, IoT and Analytics at Benchmark Corp
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"It is a stable program."
"The functionality of the solution is excellent."
"It's a pre-configured appliance that requires very little in terms of setting-up."
"The performance is great, we are able to query our data in one operation."
"I like this solution's ease of design and the fact that its performance is quite good. It is stable as well."
"The flexibility in design is very good."
"The performance is very good and the aggregate records are fast."
"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data."
"Allows us to take volumes and process them at a very high speed."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"Speed and resiliency are probably the best parts of this product."
"It has improved my organization's functionality and performance."
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"I have found the solution to be scalable."
"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."
"I'm not sure about the unstructured data management capabilities. It could be improved."
"It could use some more advanced analytics relating to structured and semi-structured data."
"I would like to see more integration with many different types of data."
"The scalability could be better. The on-premises solution is always more complicated to scale."
"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."
"When it is about to reach the maximum storage capacity, it becomes slow."
"Support is an area where it could get better."
"Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be."
"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."
"The geospatial functionality could be designed better."
"We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well."
"They could improve on customer service."
"I have found that coding support could be simplified."
"The solution requires a license."
"The price of Teradata is on the higher side, and I think that it where they lose out on some of their business."
"From a cost perspective, the software is less than most of its competitors."
"It's difficult today to compete with open-source solutions. In these areas, there is a lot of competition and the price of this solution is a bit pricy."
"The price could be cheaper and it is best to negotiate the price."
"The price is reasonable. We use a pay per license model. Firstly, you need to buy a license. After that, you mainly pay the annual support fee of around 20% or 25%. I think their prices are quite reasonable."
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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Teradata is ranked 7th in Data Warehouse with 6 reviews while Vertica is ranked 4th in Data Warehouse with 8 reviews. Teradata is rated 8.0, while Vertica is rated 9.6. The top reviewer of Teradata writes "Good performance, flexible, easy to tune queries, and scales well". On the other hand, the top reviewer of Vertica writes "Superior performance in speed and resilience makes this a very good warehousing solution". Teradata is most compared with Oracle Exadata, Snowflake, SQL Server, Amazon Redshift and Teradata IntelliFlex, whereas Vertica is most compared with Snowflake, Amazon Redshift, SQL Server, Oracle Exadata and Apache Hadoop. See our Teradata vs. Vertica report.
See our list of best Data Warehouse vendors.
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.