Senior product analyst at a financial services firm with 10,001+ employees
Real User
Top 10
Oct 30, 2025
My advice to others looking into using Teradata is to go for it if you need faster processing, multi-parallel processing, or more security. I would rate this product an eight out of ten.
New users should focus on understanding Teradata's parallelism and write their queries or codes to utilize its full potential. Knowing how to use workload management effectively is beneficial. I'd rate the solution eight out of ten.
Senior Data Analyst at a outsourcing company with 201-500 employees
Real User
Top 10
Sep 11, 2024
I’ll be recommending it to customers. In my country, it is very active in acquiring data analysis solutions, so it will likely be recommended for that sector. I have very limited knowledge at this point. I'm still exploring the architecture. From what I’ve learned so far, I believe it's used quite extensively in my region. The idea of distributed computing and partitioning is definitely something that's needed. Also, the cloud and on-premises architectures are not that different, which is a positive aspect. Overall, I would rate the product an eight out of ten.
The tool did enhance our company's data warehousing and analytics capabilities. Teradata was crucial for our company's data analysis, especially for every campaign we run, including the pricing, exercises, and analysis. Teradata's feature, which had the most significant impact on our company's data management, revolves around the analytics feature it offers. I rate the tool an eight out of ten.
Considering its strength in data warehouse technology, I'd rate it between a nine out of ten. For data warehousing specifically, it has a lot of built-in components that can handle various requirements. However, there's also big data technology to consider these days. But for a traditional data warehouse environment, Teradata is a very successful solution, a very good database, actually.
Senior Data Engineer at a media company with 1,001-5,000 employees
Real User
Top 10
Nov 29, 2025
Teradata handles a large volume of data effectively, being beneficial in a specific domain where a large amount of data is flowing, providing a reliable system that performs multi-parallel execution and batch processing for loading.I would suggest to others considering Teradata that if they are looking for something specific domain-wise and infrastructure that can handle multi-parallel and large volumes of data for extraction and loading, it would be a great tool. I would rate Teradata an eight out of ten.
My advice for others looking into using Teradata is to do homework; there is no silver bullet for your problem. You have to find out what works well for your specific needs. If the priority is to find the best tool that can be relied on with less maintenance and good performance, Teradata is definitely a good option, but again, homework must be done to see which one suits the data workloads. I give this product a rating of 9 out of 10.
Interim and Fractional CIO and CTO at a consultancy with 11-50 employees
Real User
Top 10
Sep 30, 2025
My advice for others looking into using Teradata is to conduct co-pilot type projects first; I recommend executing use case projects to truly see the value and understand how much it helps. We are just a customer and do not have any other business relationship with this vendor. On a scale of one to ten, I rate Teradata a nine.
Team Leader for Data Base Administrators at a government with 1,001-5,000 employees
Real User
Top 10
Nov 4, 2024
For Teradata to perform well, it requires good configuration and a good structure of the database. It's most suitable for medium and above-sized companies rather than small ones. I'd rate the solution seven out of ten.
Manager, Project at a consultancy with 1,001-5,000 employees
Real User
Top 5
Jun 3, 2024
We used Teradata for proof of concept purposes but eventually transitioned to Azure Synapse SQL for managing large data volumes. With Azure Synapse SQL, we could load nearly 130 million records daily from a single data source, and we had eight data sources. This data-loading process took only four hours to complete. It is also based on the .NET framework. If you're familiar with SQL, working with Teradata might be considered complex compared to Microsoft SQL or Oracle. If you want a tool to handle financial transactions and generate simple dashboards, Teradata might be the faster option. However, if you also require machine learning, operational reporting, etc. I would recommend considering alternatives such as Azure Synapse SQL. I rate the overall product a seven out of ten.
All analytics and reporting in our organization are done through the solution. Two people are required to maintain and operate the solution. We need five data modelers to design and develop the solution. I advise users not to get stuck with the solution since it's expensive. The change on this platform is also expensive since it has so many associations with other layers. Currently, the new architecture for the data is to eliminate its complexity because it's a complex solution. Overall, I rate Teradata IntelliFlex a seven out of ten.
I actively endorse the use of Teradata, particularly for data warehouse solutions, due to its robust handling of raw data and overall stability. The emphasis on retaining raw data is its key strength. However, it's crucial to acknowledge the cost associated with it. To address this, consider forming teams to strategize and mitigate expenses, ensuring a more cost-effective implementation that aligns with your organization's objectives. Overall, I would rate it nine out of ten.
Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.
Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise...
My advice to others looking into using Teradata is to go for it if you need faster processing, multi-parallel processing, or more security. I would rate this product an eight out of ten.
New users should focus on understanding Teradata's parallelism and write their queries or codes to utilize its full potential. Knowing how to use workload management effectively is beneficial. I'd rate the solution eight out of ten.
I’ll be recommending it to customers. In my country, it is very active in acquiring data analysis solutions, so it will likely be recommended for that sector. I have very limited knowledge at this point. I'm still exploring the architecture. From what I’ve learned so far, I believe it's used quite extensively in my region. The idea of distributed computing and partitioning is definitely something that's needed. Also, the cloud and on-premises architectures are not that different, which is a positive aspect. Overall, I would rate the product an eight out of ten.
The tool did enhance our company's data warehousing and analytics capabilities. Teradata was crucial for our company's data analysis, especially for every campaign we run, including the pricing, exercises, and analysis. Teradata's feature, which had the most significant impact on our company's data management, revolves around the analytics feature it offers. I rate the tool an eight out of ten.
Considering its strength in data warehouse technology, I'd rate it between a nine out of ten. For data warehousing specifically, it has a lot of built-in components that can handle various requirements. However, there's also big data technology to consider these days. But for a traditional data warehouse environment, Teradata is a very successful solution, a very good database, actually.
Teradata handles a large volume of data effectively, being beneficial in a specific domain where a large amount of data is flowing, providing a reliable system that performs multi-parallel execution and batch processing for loading.I would suggest to others considering Teradata that if they are looking for something specific domain-wise and infrastructure that can handle multi-parallel and large volumes of data for extraction and loading, it would be a great tool. I would rate Teradata an eight out of ten.
My advice for others looking into using Teradata is to do homework; there is no silver bullet for your problem. You have to find out what works well for your specific needs. If the priority is to find the best tool that can be relied on with less maintenance and good performance, Teradata is definitely a good option, but again, homework must be done to see which one suits the data workloads. I give this product a rating of 9 out of 10.
My advice for others looking into using Teradata is to conduct co-pilot type projects first; I recommend executing use case projects to truly see the value and understand how much it helps. We are just a customer and do not have any other business relationship with this vendor. On a scale of one to ten, I rate Teradata a nine.
For Teradata to perform well, it requires good configuration and a good structure of the database. It's most suitable for medium and above-sized companies rather than small ones. I'd rate the solution seven out of ten.
We used Teradata for proof of concept purposes but eventually transitioned to Azure Synapse SQL for managing large data volumes. With Azure Synapse SQL, we could load nearly 130 million records daily from a single data source, and we had eight data sources. This data-loading process took only four hours to complete. It is also based on the .NET framework. If you're familiar with SQL, working with Teradata might be considered complex compared to Microsoft SQL or Oracle. If you want a tool to handle financial transactions and generate simple dashboards, Teradata might be the faster option. However, if you also require machine learning, operational reporting, etc. I would recommend considering alternatives such as Azure Synapse SQL. I rate the overall product a seven out of ten.
Overall, I rate the solution a one out of ten.
All analytics and reporting in our organization are done through the solution. Two people are required to maintain and operate the solution. We need five data modelers to design and develop the solution. I advise users not to get stuck with the solution since it's expensive. The change on this platform is also expensive since it has so many associations with other layers. Currently, the new architecture for the data is to eliminate its complexity because it's a complex solution. Overall, I rate Teradata IntelliFlex a seven out of ten.
I actively endorse the use of Teradata, particularly for data warehouse solutions, due to its robust handling of raw data and overall stability. The emphasis on retaining raw data is its key strength. However, it's crucial to acknowledge the cost associated with it. To address this, consider forming teams to strategize and mitigate expenses, ensuring a more cost-effective implementation that aligns with your organization's objectives. Overall, I would rate it nine out of ten.