Teradata Reviews

We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata.

It didn't improve the way our organization functions.

None.

There is a need to improve performance in high transaction processes, as well as the reporting system.

No issues with stability.

No issues with scalability.

I would rate tech support at eight out of 10.

Yes, we already had SAP IQ and were using it. We didn’t switch. We tried but it failed.

Very complex.

I rate Teradata two out of 10. At first, support was very good, but during and after they ended their operation in Turkey it was very bad. We had some agreements and they gave us some promises but...

We bought it three years ago but we couldn't use it in production. We have SAP IQ data warehouse now and I don't have a major problem. I would recommend SAP IQ for data warehouse.

If you are going to buy Teradata, you have to make a very solid contract with them.

Business intelligence and data warehousing solutions for our client.

Auto-partitioning and indexing, and resource allocation on the fly.

Compatibility with more Big Data platforms.

I rate Teradata at eight out of 10. It provides high performance.

Good data warehousing solution. Workload Management (TASM) and Viewpoint.

As it is a data warehousing solution, many reporting sessions and users can run simultaneously without much performance degradation. The product is more helpful in historical analysis and customer behavior trends for the organisation.

Query Log maintenance should be free in all versions and should be made easy.

Seven years.

Regarding stability, Teradata comes bundled with hardware and software. There are fewer bugs in the software and most of the hardware failure mechanisms are addressed at the hardware level, so users experience less downtime.

Average.

Complex. My experience was the Teradata Solution Architects were less friendly and hid information and charged for simple things.

Pricing is bit on higher side. They have come up with a licencing model recently.

It is a good solution.

We are only consultants, so we don't use the program ourselves. 

Our customers are very impressed by Teradata's speed, because it's massively parallel processed. So you can get a great volume of data through quickly.

What really needs to improve, is their general cloud services. That is their biggest downfall at the moment. 

Teradata is a really stable program.

The scalability of Teradata is extremely poor, unfortunately.

Because we are only consultants, we never use the technical support. Only our clients do.

On a scale from one to ten, I will rate Teradata a seven. An additional feature I would like to see included in the next release is that it needs to be more cloud-friendly. That's the one thing they're going to lose customers over, so that needs to improve. I know they're working on it, but they need to do it quicker. 

Our primary use case for this solution is the Transparency Portal of the Brazilian Government. Teradata provides the database infrastructure for this analytical site that is able to create an online BI experience that provides details on how the Brazilian government spends public money.

Teradata has allowed us to provide an online BI solution that no other player was able to do.

The feature that we find most valuable is its ability to perform Massive Parallel Processing.

I would like to see an improved Knowledge Base on the web.

There are two million queries per day and an average of eight hundred concurrent users during working hours. 

Building a single truth database (Enterprise Data Warehouse) where all the enterprise data is integrated at one place.

• Building a data warehouse with Teradata has definitely helped a lot of our downstream applications to more easily access information.
• It has reduced a lot of reworking on maintaining indexes, partitions, etc. Due to its architecture, the focus has been shifted from not maintaining the database to how we can utilize the data/features.

Parallel processing features have helped to easily dump any size of data and retrieve data with great performance.

Features like TPump were helpful for real-time data loads compatible with almost all other APIs/tools in our enterprise.

Inbuilt architecture reduces admins' efforts.

• Cost
• Scalability

It would help to make scaling easier with a reduced cost.