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.
Team Leader for Data Base Administrators at a government with 1,001-5,000 employees
Real User
Top 10
2024-11-04T15:20:00Z
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.
Senior Data Analyst at a outsourcing company with 201-500 employees
Real User
Top 20
2024-09-11T09:38:37Z
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.
Manager, Project at a consultancy with 1,001-5,000 employees
Real User
Top 5
2024-06-03T18:29:07Z
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.
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.
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 scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability,...
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.
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.
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.
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.
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.
Overall, I rate the solution a one 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.
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.