Teradata Reviews

We have all our workloads on AWS.

Having Teradata in AWS:

• Helps us with connectivity.
• Making sure the data is secure.
• Reduces the hops.
• Helps us more with real-time data.

We had few reports which were taking more than 45 minutes. Then, with Teradata, we received results within minutes, and a few under a minute. We thought that something went wrong, and we hadn't done the work properly, but we saw the exact same results on both. So, our end users were pretty happy.

It is quick, secure, and has less hassles because we don't have to involve our networking team, infrastructure, etc. It is very easy to deploy and make market ready.

Teradata wants to come out of the hardware business and to run its own cloud on other public clouds. I think that is a great way to go. However, there are challenges to doing this. There are multiple layers of security and caching. E.g., if you have a lot of compute or a caching that will offload a lot of compute activity because it's already there, it will save its cycles for something which needs to be done. This way, you are offloading your compute, so you can go with a lesser capacity than a higher capacity. That is what this appliance does.  If they are moving off of the appliance, I am curious to see if their software will withstand the change, or will Teradata still run but need a bigger box?

I would like more security and speed. These days, everyone is not just moving to cloud, but they are moving to clout. In a multi-cloud environment, you have to be cognizant of data transfer, bandwidth, and egress charges, not just from a performance and scalability point of view, but also how to keep costs low.

We haven't had any outages in one and a half years. That is a good statement.

I have not heard anyone complain about performance.

The technical support is pretty good. The response rate is good.

We had a bunch of legacy warehouses, which we wanted to consolidate, as well as stay up-to-date with warehousing options. This is why we moved into Teradata.

The integration and configuration were seamless for us.

We have multiple sources of data, so Teradata has a lot of connectors which pulls all our data from different workloads. The integration works really well.

We had help with the integration and configuration.

When your customer is happy, dollars and cents sort of blur. Our return on investment would be customer satisfaction, which I think is priceless.

We had a lot of parties involved when purchasing from the AWS Marketplace. They are very flexible and aggressive in trying to close the deal. They are good at what they have to offer and listening to the customer. It's a two-way street.

In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace.
Also, we have a consistent experience with Teradata usage on its cloud, so we already know the product.

For what Teradata has to offer, their price is comparable to its competitors.

We evaluated Redis and Teredata, doing PoCs with both. We had more support from Teradata to start with, and we were new to both. We were not in a situation to tell which one was good, because both were new to us. We just had more support from Teradata to help us see the results on what we are looking for.

Do your homework before you make a decision. Everyone is different; every shop is different. That is what makes it fun to be in IT.

When you look for a solution, you will uncover many advantages. All those hidden things which are not clear initially when you do a cost analysis. A cost analysis is something that you have to do from the get-go, but it also has to be an ongoing process. Your workloads change, requirements change, everything changes, so it has to be a constant feedback.

We have used both the on-premise and AWS versions.

Our primary use case is for retail and customer behavior modeling. We handle a billion records from different sources to create a consolidated feed for KXEN analysis and customer behavior modeling.

It has allowed our organization, a retail company, to focus on timely marketing campaigns for the proper customers.

It handles large amounts of information with a linear performance increase, in relation to a HW investment. It has a solid set of tools and consulting services.

• A more transparent integration with Aster solutions.
• An even deeper focus in data sciences.
• A teaching web site with more training on third-party tools used for BI (data sciences).

We use it for enterprise data warehouse (EDW) with on-premise hardware. The company uses EDW for most MIS functions.

It has massive parallel processing ability to do large amounts of concurrent querying. It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs.

Speed of complex queries and the ability to schedule give business users time to analyse data rather than waiting for queries to run.

We are using an older version at the moment. We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise.

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.

As a contractor for various companies working in various industries, we usually find Teradata in financial organizations. It is often being used for relational data storage for huge data warehouses (usually built on Inmon principles) or as storage for building analytical data marts. Teradata is positioned as a high-performance solution for heavy analytical queries and, in fact, it is. Moreover, Teradata is typically supplied with the whole ecosystem of its tools (like Viewpoint), but I have not extensively used them.

• Cuts time to process huge amounts of data with analytical queries
• A conventional and easily defined way to build a data warehouse or a layer of data marts
• Better development time - Teradata can be easily used in ETL mode transformations, so there is no need for expensive and inconvenient ETL tools

Efficiency of running analytical queries. Teradata was mainly invented for that purpose and it really does it well. We were able to migrate the code from SAS analytical platforms to pure Teradata and got an order of magnitude of performance growth (taking into account that the hardware was similar).

Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required).

Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect.

We have not experienced any stability issues.

No. Teradata is positioned as a rather scalable system, and we have not seen any issues with it.

I was not impressed by tech support. We made several requests regarding performance issues we had with our applications but did not get helpful answers.

It is hard to say what our clients had been using before. It is safe to say that this was their first option for analytical data warehouse implementation.

I cannot say for sure. We have not taken part in deployment activities. As it is an appliance, I expect it is a bit complex.

Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world.

Usual alternatives in the same segment for our clients are Oracle Exadata, SAP HANA, and Hadoop.

I rate it an eight out of 10. It is definitely the best RDBMS I have ever worked with, in the sense of building a data warehouse. It is fast, and easy to use in terms of writing queries. However, you have to understand the specifics of the data storage and its technical architecture, which is not typical for an RDBMS.

In terms of advice, I would suggest your provide training for your personnel, because it is rather important to understand the technical specifics of Teradata to create efficient solutions with it. Other RDBMS's usually requires knowledge  of generic theory, but that will not work with Teradata.

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.

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.

Data mart implementation for the insurance industry.

• Increased the speed of reporting
• More accurate data scientist answers

• Shared-nothing architecture
• Recoverability

• Cloud implementation
• User-friendly products

I have not encountered any issues with stability for Teradata solutions.

I have not encountered any issues with scalability for Teradata solutions.

Their level of technical support is adequate. It could be better.

We previously used Oracle, though not Exadata. We switched for better reporting performance.

The initial setup was complex as we had to rewrite a lot of the code.

I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services.

We evaluated this product versus Oracle Exadata.

When looking into implementing this product, pricing is the main issue followed by technical expertise.