Teradata Reviews

We used the solution for our data warehouse. 

The availability is very good.

We have found performance to be one of the most valuable aspects. 

The solution scales well on the cloud. 

Teradata is a bit late for the cloud. They maybe need to have some room for cloud improvements.

Scalability is limited on-premises. 

The solution could use more AI support.

I've used the solution for a while. The last time I used it was two months ago.

The performance is great. It's stable and reliable. There are no bugs or glitches. It doesn't crash or freeze. 

Teradata is a 100% stable environment.

In on-premise systems, it was a bit tricky to scale. However, in the cloud, it's very easy.

People are not directly connecting to Teradata. However, they are using reports that are fed from Teradata. In that sense, the entire company is using Teradata. It's more than 1,000 people.

I'm not directly connected with technical support from Teradata. I connect the local support here, and they are connected to Teradata, and on the weekends or after working hours, we get support and solutions. So we were happy with Teradata's and local company's support.

Positive

This product was already set up when I joined the organization. As far as I know, they were trying to replace SAP BW. There was an SAP BW system, and they were trying to replace it with Teradata. 

It was easy for me to set up since I didn't handle the setup. Our local support company managed everything and prepared the environment, and handed it over to us. It was very easy in that sense.

We had a local support organization assist us in the setup.

We have seen an ROI. It's worth the money.

Teradata is not a very cheap solution, yet it is a good solution. You get a good return on what you have paid for.

I'm an end-user.

If new users are experienced database users, they will know the administration side is different than the other databases. However, it's almost the same for an end user, a developer, or somebody doing reports on Teradata on another database. It has some differences, yet the logic is the same.

I'd recommend the solution to others. I love Teradata.

I would rate the solution an eight out of ten.

I was happy to use it. I was glad to have Teradata, since, with Teradata, we can meet the requests of the customers, and it is highly available. 

Our use case is for data warehousing and BI reporting. We are customers of Teradata.

The solution is speedy and doesn't require much of a DBA team, it's kind of baked right into the product.

Any value this product provides is offset by the high cost and lack of scalability. We're moving to Snowflake because of the scalability and cost differentials. There are better, more flexible, robust, and economical options out there.

I've been using this solution on and off for 20 years. 

The solution is stable, it's a best-of-breed product, but the architecture is old school.

The technical support is fine. 

The initial setup was fine but whenever we needed to increase the size and capacity, it would literally take a room full of people, a very coordinated effort and it was a huge project, in contrast to a product like Snowflake, where you literally just change the warehouse size and it auto-scales. So those types of things really hindered Teradata prem. 

The cost depends on the size and it can be quite expensive. If you have 1,000 users, the cost can be anywhere from half a million to a million dollars a year. 

It's hard to compare their on-prem solution to current cloud environments. From an on-prem perspective, it's expensive but fantastic.The problem is that nobody's playing in that space anymore. People are using the cloud, and the cloud has better options.  

Because it's on-prem, I rate this solution four out of 10. 

My primary use of Teradata is for data warehousing.

Teradata's most valuable feature is that it's easy to use.

Teradata's UI could be more user-friendly.

I've been using Teradata for over five years.

Teradata is pretty stable.

Teradata is scalable.

The initial setup was straightforward.

We used an in-house team.

I would rate Teradata as eight out of ten.

Teradata is used for many use cases, such as clickstream, website support, and manufacturing control.

Teradata has helped our organization accelerate substantially the decision-making that happens.

The most valuable features of Teradata are that it is a massively parallel platform and I can receive a lot of data and get the queries out correctly, especially if it's been appropriately designed. The native features make it very suitable for multiple large data tasks in a structured data environment. Additionally, the automation is very good.

I've been using the same UI for 20 years in Teradata. It could use some updating. Adding more stability around Teradata Studio would be outstanding. Teradata Studio is a Java-based version of their tool. It's much better now, but it still has some room for improvement.

I have been using Teradata for approximately 20 years.

The stability of Teradata is outstanding.

Teradata is highly scalable, it is excellent.

We have approximately hundreds of users using this solution.

I have not used support recently, but I have previously.

I previously used SQL Server.

The initial setup of Teradata is complex. The business layers on top of Teradata add to the complexity. The way the business uses Teradata adds to the complexity that the software itself doesn't necessarily have. 

You can do an upgrade for Teradata in a couple of days. Deploying it is not difficult at all, nor is it time-consuming.

I rate the ease of setup for Teradata a one out of five.

The price of Teradata is expensive. However, what they deliver they are outstanding. If you're looking for an inexpensive solution to run a database, this isn't your tool. It's the Ferrari of databases for data warehousing.

There are add-ons that you can purchase, such as special features. Teradata likes to sell an industry logical data model that's customized for just about every industry they have clients in. That is an extremely expensive add-on, but it does give you a step up in getting your logical modeling created. They've also done some work towards being able to go from logical to physical in an automated fashion with that ILM.

Teradata is being used on-premise, but we're moving to the cloud and I don't know that we'll retain Teradata further. We might be switching to the Google platform and their native databases.

Make sure that your data volumes are large enough for it and that you follow their standards. The modeling for Teradata is slightly different than anything else out there. Match your primary indexes if you can. These PI-to-PI joins are incredibly fast, even with massive amounts of data. I've worked on Teradata installations in the petabyte range.

I rate Teradata a nine out of ten.

The most valuable features are the large volume of data and the structuring of the data to optimize it and get very optimal data warehouse solutions for customers.

An area that needs improvement is the cloud-based version of the solution because it's designed for on-prem and then transferred to the cloud version. Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly. In the next release, I would like Teradata to be cloud-agnostic in order to not limit customers' choices.

I've been using this solution for fifteen to twenty years.

Teradata is superior, stable, and has no problems.

Teradata is easily scalable. 

The setup is complex and requires specialized people for implementation.

The cost of running Teradata is quite high, but you get a good return on investment.

I've also evaluated Snowflake, which allows you to expose your data to multiple sources for monitoring without additional work.

For the on-prem solution, there isn't really anyone who can compete with Teradata. I would rate it as eight out of ten.

We use Teradata in our data warehouse and we extract data. We have a data department that uses many tools for data extractions.

Teradata has good performance, the response times are very fast. Overall the solution is easy to use. When we do the transformation, we have all of our staging and aggregation data available. 

Teradata could improve by providing better training. For example, Oracle provides good overall training. It is not easy to find information on the internet.

I have been using Teradata for approximately eight years.

The solution is stable. However, there are times when we are using large amounts of data and we can see some latency issues.

Teradata is scalable. We have two large servers and if we need to add new servers it can be done. Additionally, adding hard drive space or more performance is not a problem.

We have approximately 15 users using this solution in my organization.

The technical support is good but they could improve because sometimes they can take two weeks to resolve issues.

The implementation took approximately one month.

We did the implementation of Teradata using their support.

The price of the solution could be reduced, it is expensive.

I would recommend this solution to others.

I rate Teradata a nine out of ten.

We primarily use the solution for data warehousing. 

Primarily what happens is, in Juniper, they have internal business analytics and intelligence, a business intelligence analytics dashboard, and a lot of databases that capture the customer feedback. 

It actually captures all the internal defects that are tracked on products. There are different databases that accumulate all this data. Basically, you need to be able to source the data and do some filtering. We extract, transform, and load logic. We have to run certain business rules based on what the program or management team looks at. The teams want to filter out some of these problems that they have, and they want to analyze how well the company is responding to many of these customer issues, et cetera.

Our company is a large company with each particular team using its own database and its own database tables. It becomes extremely hard for the company to take the data from different data sources and be able to correlate everything and be able to analyze many of the processes that are happening within. There is a workflow discontinuity that has been observed due to the fact that the data is distributed. In order to understand exactly how a request comes in from the customer and what goes on behind the scenes in order to resolve the problem or to be able to provide the support to the customer, and how long does it take before the problem gets fixed and delivered, et cetera, we need to centralize everything and we use data warehousing for that. 

There are other similar kinds of business rules filtering that happen on the dashboard as well. This enables people to be able to view the data that is needed and the metrics that are of interest to them and is especially useful when it comes to the executive team.

The most valuable feature is the ability to be able to access the different data anywhere, and the Cloud Data Warehouse solution enables that. 

To be able to extract, transform, and load logic, and also to be able to correlate the data in different databases and not just correlate it in one is great. 

If I want to be able to perform certain database queries on a joint operation between database tables located on two different database sources, et cetera, I can do that. 

The most important thing we get out of the product is the intelligence that we derive. How the company feels in terms of process efficiencies is positive. In order to understand how a workflow is actually executed within the company, we need the assistance of this product. That's where the maximum value comes from. 

The ability to access the data from a website or from anywhere is very important. The people themselves can also be anywhere. 

The licensing system enables the company to track how a switch is used by an end customer, an end-user, and what different features the customer is actually running. It tells us a lot about the product. You have a lot of quantitative data that can provide an understanding of people's behavioral patterns and people's usage patterns when it comes to understanding what features or what are those elements that customers are most interested in - that can be tracked. 

The solution is stable. The product is reliable.

The scalability is good. 

Technical support has been good. They are helpful.

In terms of improvements, I can only speak from the dashboard perspective. 

The most important thing is that I don't know how far the dashboard integration goes. People, for example, were using the Cloud Data Warehousing product, however, they were actually building their own dashboards, et cetera. That's like double the amount of work. The company should have the ability to integrate with something like Tableau to make everything more standardized.  

With the customer data, we were able to integrate very successfully with Tableau and we were able to use it well from an end-user perspective. We were using the Tableau interface for understanding what our customer buys, et cetera. For example, for the customer financial data aspect of it, the business data, we were able to use Tableau dashboards. It would be better to use back-end data warehousing and also have dashboard reporting and have everything integrated properly. It doesn't need to be Tableau. It can be some other dashboard. However, it needs to be standardized. 

The usability could be a bit better. It could be a bit more user-friendly.

I've been using the solution for five or six years or so. We've used it for a while. 

The solution does seem to be a quite stable solution. We haven't had any major issues that I am aware of. Generally, stability has never been a problem with the product. There are no bugs or glitches. It doesn't crash or freeze. 

The scalability seems to be pretty good. If a company needs to expand it, it can do so.

Technical support is decent. We are satisfied with the level of support we receive. 

Some time ago, we also implemented SAP internally within the organization. For some reason, there was a decision not to go with the SAP HANA. I don't know why that decision was taken. Likely, it had to do with the kind of data or the kind of use case that we had and the data sources that we had. Teradata was considered to offer better performance and was a better-performing product.

Teradata definitely does what it says, in terms of an on-demand platform, as it's a cloud service and it is definitely scalable. It's secure and it does provide scope for a lot of automation. The provisioning part of it, the administration and backup recovery as well as the analytics are some things that could be integrated in a more advanced manner. Maybe certain enterprise use cases need to be included so that users in an enterprise environment can build an analytics dashboard out of it. Support is good, however, the support requirements are not too much. Overall, the usability can be a little simpler. In general, we've been satisfied with it as a product.

I would rate the product at an eight out of ten. I want to be a little bit conservative in my rating as I want to be sensitive to the fact that people really want to be able to do the slicing and dicing of data at a user interface level and to be able to see all the insights at once. At that level of usability, to be able to slice and dice, you need to give a dashboard to a user. 

If, for example, I have a certain type of organization that has a hierarchical organizational setup, I should be able to slice it to a specific group or a specific department, or a specific team. I should be able to see the metrics corresponding to that, or corresponding to the drilled-down data. While that's possible today, what I'm trying to say is that to be able to do it as a business user, to be able to use an interface in order to be able to do that kind of custom slice and dice operation and see the data in real-time, people are looking for more. Users want a level of usability from a business rules perspective, et cetera. That's something that people are looking forward to from intelligent and smart dashboards. It just needs to offer something that is much closer to capturing real-time information.

We primarily use the solution for data warehousing.

The loading time of the solution is quite good.

What really impressed me is their approach to design the data warehouse. It's very different from other solutions. They have their own methodologies for doing things, and they can come up with a very solid and good design that can stand the test of time.

The functionality of the solution is excellent.

The solution can scale.

It's quite a stable product.

On the product side, I don't think anyone can actually beat them with data warehousing.

I'm not sure about the unstructured data management capabilities. It could be improved.

They should, I think, try to do more of this open-source initiative to encourage more people to use it. Otherwise, it's my opinion that they might lose our business in the long run.

I've been using the solution for about three years at this point.

As one of the top companies in the world, the solution is very stable. There aren't bugs or glitches. It doesn't crash or freeze. It's quite good.

Product-wise the scalability and usability, is all excellent. They are the top players in this with their new database. The cloud helps make it so scalable. We're catching up and starting to scale, however, we aren't there yet.

I don't recall if the solution had a complex or straightforward setup. I wasn't part of the process.

I'm not sure if we would want to keep paying for the solution. They should make some of the software a community edition or something like that to encourage more people to use it.

This is a very good solution. 

After looking at the recent price drops, they need to offer very good discounts for people that bought it. The value proposition is actually quite good compared to many years ago. For most of the enterprises out there, they're focusing mainly on structure data. This solution ticks that box.

As long as they can control the price incrementally in the future, I think they're a very good strong platform.

I'd rate this product in terms of its functionality, stability, and scalability, as almost perfect. It's a nine out of ten. I don't think there's anything to complain about. It's only the price that's a sticking point for us.