Teradata Reviews

Our use cases are all about data ingestion, data manipulation, and data exploration. It's the core database for us.

It's the same as your visual database. I like the fast load feature for data, BTQ nd storage procedures are very good. They can avoid table locking, which is very good.

Sometimes the large ingestion jobs takes days to load data, and some of our stored procedures take longer. I don't know whether it's the tool or the network, but it takes a long time to execute complex commands.

I've been using this solution for around five years Now. We currently use the latest version. 

It is a stable solution. I would rate the stability a nine out of ten.

I would rate the scalability a nine out of ten. It is scalable. 

There are more than 100 users currently using Teradata in our organization.

The customer service and support are good. But they take a long time to respond.

So there is room for improvement in response time. 

It's a very straightforward installation process. It's good in terms of installation.

The solution requires maintenance. Our team of ten engineers manage and maintain the solution.

It is yearly basis. The licensing is based on a contract. It's a very expensive product.

I would rate the pricing model a three out of ten, where one is very expensive and not cost-effective, and then ten is a very cheap product. The solution is fairly expensive. 

Overall, if I consider the expense, features, and everything, then I would rate the solution a six out of ten.

We use it primarily as a dedicated platform for aggregating structured data, essentially serving as our structured data repository or data warehouse.

Their extensive experience in data warehousing, the platform's performance, and their strong reputation in the market are the most valuable.

One issue we've identified is that its performance varies across different on-premises setups and doesn't consistently meet our standards. This limitation necessitates the purchase of Teradata's proprietary hardware to ensure the desired level of performance. The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial.

I have been using it for four years.

The stability is excellent, and I would rate it nine out of ten.

The challenge lies in the necessity to purchase additional hardware for scaling, so I would lean towards a rating of around four out of ten for the overall experience.

The technical support is satisfactory; I would rate it seven out of ten.

Neutral

I would rate the initial setup six out of ten when it comes to complexity.

I would rate the return on investment eight out of ten.

The cost is significantly high. I would rate it eight out of ten.

Overall, I would rate it seven out of ten.

Teradata is a great, industry-leading data warehousing product that has MPP architecture. In recent times, there have been many other products available in the cloud space. It has a lot of other features like linear scalability and unconditional parallelism.

Teradata hardly supports unstructured data or semi-structured data. Teradata is very costly, and it's not easy to upgrade or expand the components in Teradata. A lot of infrastructure needs to be set up in order to use Teradata.

I have been using Teradata for more than 15 years.

Teradata is a very expensive solution.

Many other products equivalent to Teradata are available in the market, like BigQuery, Redshift, and Snowflake.

Teradata is a suitable solution for small customers.

Overall, I rate Teradata an eight out of ten.

We use Teradata to build data warehouses for our customers.

The ability to handle machine data parallel processing is the most valuable feature of Teradata. The fundamental design concept involves moving from Oracle's design process to achieving the best possible design. This represents a departure from traditional approaches and is an innovative idea introduced by Teradata in the industry. Many newer databases, such as Snowflake and Vertica, have adopted similar architectures.

Teradata can improve the way it handles big data and unstructured data.

I have been using Teradata for 16 years.

I give the stability of Teradata a ten out of ten.

I give the scalability of Teradata an eight out of ten.

The technical support is good and responsive.

Positive

The initial setup is straightforward. The deployment time is contingent upon the scale of the migration and moving from a lower to a higher environment is not a challenging task. The time it takes to migrate the data is also dependent on the source database and what ETL tool we are using. Around two to three engineers and one architect are required for the deployment.

We implement the solution for our clients.

Snowflake is built on top of the Teradata architecture but it has more flexibility.

I give Teradata an eight out of ten.

For enterprise-level organizations, Teradata is a suitable option.

There are two very useful features. 

One is the fast data input for more or less any online data. It performs rather well. Two, it also has a lot of tools for data engineering or data manipulation that are compatible. 

The solution offers an easy setup.

It's stable and reliable.

The solution like scales just fine.

Some of our clients are looking for on-premise installations as well. Although we don't have any, some of our prospects are also asking, and we are not sure if that part is easily doable or is as effective. We haven't tried on-premises, so we don't know how good it is. We are not confident about proposing on-premise to them, since we are more familiar with the cloud. Maybe some documentation on how on-prem works or what other things to look for in on-premise deployment would be helpful. We'd love to see more tutorials. 

Our company does data science and AI machine learning algorithms on the data that is deciding on the Teradata, so that's the value we add. From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing.

I've been using the solution for four or five years. 

The solution is very stable, and the performance is good. It's reliable. There are no bugs or glitches. It doesn't crash or freeze. 

Our clients do not have very large data sets. So far, the environment has scaled fine, however, once the volumes grow, we will have to see whether we are facing any problems or not. Right now, we don't see any problems. We just haven't tried to scale massively.

We haven't needed much technical support. That said, some of my colleagues have been able to contact them and get service as and when required. It's all right. 

Positive

On cloud, it is very easy to set up. 

It's moderately priced. It's not cheap. I'd rate it 2.5 out of five in terms of affordability.

I am not knowledgeable about the other vendors to make a meaningful comparison. I haven't really taken the time to evaluate other options. 

The solution is most suitable for medium to large-scale businesses. 

I'd rate the solution seven out of ten.

I would recommend the solution to others. 

We primarily use the solution as a relational database. We use it mainly for logistics. 

The solution offers very good features. It's useful when you are working with data. 

The level of complexity is okay.

It can handle very large amounts of data. It is very powerful. 

Designing the database is easy.

The solution is stable.

It is easy to set up.

The scalability is good. 

Technical support was fine to deal with.

I'd like to see a better relationship with the business itself. Business users have trouble finding solutions when they run into issues in the data warehouse.

It can be a bit complex to work with.

Regarding data warehousing, I'd like to see more data and business analysis to help with the design and development. 

It's primarily designed for big projects and therefore, the pricing is pretty high. It's not suitable for smaller companies. 

I've been using the solution for 20 years.

The solution is stable and reliable. It doesn't crash or freeze. There are no bugs or glitches. As long as it was designed well, a company shouldn't have issues. 

The solution can scale well.

I'm not sure how many users are on the solution. Likely, it is up to hundreds of users. 

We do not have plans to increase usage. We stopped using it this summer. 

We've used support in the past. I had worked closely with them. The technical team was fine to deal with.

It's not too complex. It's designed for huge amounts of data, and it's planned out well. As long as you follow some principles, it won't be too complicated. 

I've used the solution for more than a decade. It was a while since I deployed the solution. 

You start with business analysis and design the database structure from there. After that, you can start populating and developing. 

How many people you need for deployment or maintenance would depend on how big the implementation is. 

Typically, we handle the initial setup in-house. It is possible to get help if we need it. Whether or not a company needs help depends on the customer and their level of comfort with the setup.

I have witnessed an ROI while using the solution. 

The pricing makes sense for bigger projects. It wouldn't make sense for smaller companies or smaller projects.

We are primarily using the latest version of the solution. 

It works well both on-premises and on the cloud. 

I would recommend the solution. However, it depends on the project itself. Based on the stability alone, I would recommend it. It's good for bigger projects. If it is used for small projects, the complexity and price may be too high. 

I'd rate the solution nine out of ten. 

I am a Teradata administrator as well as a developer. I have about 700 users who are using our system, and we are maintaining the system in terms of tuning and in terms of all end-to-end items above the Teradata system.

We are using it as a data warehouse. In the data warehouse, we have got so many users who are doing their reporting and different types of analytics work using the solution.

Teradata's pretty fast. That is one very important aspect of the solution.

There are other tools, like Viewpoint, in Teradata, which is a monitoring tool.  

The integration is pretty easy here in Teradata.

It can scale.

We have found the solution to be stable. 

The market is enhancing, and every day, BigQuery, Snowflake, Redshift, and all these competitors are moving very, very fast. They're bringing out many new features. For example, Snowflake now has Time Travel and cloning and all these very interesting features. Teradata is an old data warehouse, and they're not improving in terms of new, innovative features. Basically, they're pretty much consistent and unchanging. They're not bringing new features. I've been working with it for eight years, and I have not seen so many new features. Maybe there have been only one or two in the last eight years. Innovation is something that is a bit slow with respect to Teradata. Other competitors are better in terms of new innovations. I'd like to see Teradata add features like cloning or time travel.

There is a query tool. However, we need to install the tool in order to fetch records. With other data warehouses, they have a web-based tool that allows for queries without having to download.

The initial setup is not too easy.

When we want to scale, we need to go to Teradata to initiate the process. 

I've been using the solution for around eight years. 

The solution is stable and reliable. I'd rate it nine out of ten. There are no bugs or glitches, and it doesn't crash or freeze. 

While the solution is scalable, and you can add new nodes if you want to, it's not instantaneous. We need to reach out to Teradata and they will handle the changes we require. Scaling is a process. 

Technical support has been very good. We have been pleased with the level of attention we receive. 

Positive

I also use BigQuery and Snowflake. They are more complex, and therefore, it can be harder to integrate using them.

Teradata is a better monitoring tool, and it offers better performance with respect to bigger data queries. However, it continues to lack innovation. 

The solution is not straightforward to set up. For example, if I target the users, the users need to install things and set up things up. Even the LDAP integration and all those things are not easy with respect to Teradata if I compare it with BigQuery, Snowflake, and Redshift.

If I want to spin off a new node or anything like that with Teradata, it's a bit tricky compared to other data warehouses where we can easily spin off new nodes and work on them.

Since our system is like a fixed system, when we did this deployment, it didn't take that much time. However, it was not easy. If I wanted to add additional load into the system, I needed to hand over the Teradata system to Teradata, and they had to do it, and that would take a day to do. Now, if I compare it with BigQuery or Snowflake, I can spin off new clusters without any issues. I can just add the number of nodes in that new warehouse, and I can run it. 

How long it takes to deploy depends on how big the system is. That said, compared to others, it definitely takes a little bit of extra time.

Since Teradata takes care of the implementation, I'm not sure how many people are ultimately involved in the deployment. From our side, we had two or three people involved in the setup. 

We have five to six admins to manage a 24/7 project.

Teradata handled a lot fo the implementation for us. 

I'm not overly aware of pricing. That said, my understanding is that it is reasonable. While it has a bit of an edge in pricing, everyone is relatively close in pricing. 

I'm a customer.

I'd advise potential users to do a proper POC first. 

Teradata is beneficial when we have a huge amount of data, and queries are complex. It works well with small queries as well. However, companies won't benefit that much from Teradata if they are only focused on small queries.

I'd rate the solution eight out of ten. If they were more innovative, I would rate them higher. 

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. 

IntelliFlex is used in the banking sector as a production system.

IntelliFlex's best feature is its reliability.

I've been using IntelliFlex for three years.

IntelliFlex is very stable, aside from some issues with the Unity Software, though I believe those are being resolved now.

IntelliFlex is easy to scale - one of its best features is that you can upscale it to the size you want. For example, we started in vertical with a six-node system and now have a twenty-four-node system.

IntelliFlex's technical support is excellent.

Positive

The initial setup is complex because there are a lot of factors that come into play, including the amount of software and applications that require access. Deployment takes around two to four months, assuming that all the company's applications are compatible with the system - if not, it may take longer.

IntelliFlex is the Rolls Royce of data warehousing. I would recommend it to other users and rate it nine out of ten.

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.