Teradata is primarily used for data warehousing across all customers. My clients have built-in applications that use Teradata, and their use varies from customer to customer, depending on the industry and database size. The primary function is as an OLAP analytical ecosystem.
Teradata VantageCloud (SaaS)
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Opinion
What do you like best about the product?
What I like best about Teradata Vantage is its scalability and performance when handling large datasets, combined with the flexibility to operate both on-premises and in the cloud. It’s particularly valuable for complex analytical queries and workload management.
What do you dislike about the product?
What I dislike about Teradata Vantage is its steep learning curve, especially for new users. The interface could be more intuitive, and some advanced features require significant technical expertise to fully utilize.
What problems is the product solving and how is that benefiting you?
Teradata Vantage is solving issues related to handling large volumes of data efficiently and providing high-performance analytics. It’s benefiting us by improving query performance, reducing data processing time, and enabling more accurate, timely decision-making across the organization.
Harnessing advanced parallelism for top performance while embracing cloud trends
What is our primary use case?
How has it helped my organization?
Scalability is excellent because of Teradata's parallelism. It doesn't impact operations when nodes are added. This allows customers to expand without migrating the entire database or system.
What is most valuable?
The most valuable aspects of Teradata are not specific features. Rather, it's the overall performance, particularly parallelism, workload management, and parallel computing. Teradata effectively uses parallelism to the granular level, performing better than other databases.
What needs improvement?
Teradata is somewhat late in adopting cloud technology. They need to focus on the adoption of cloud to remain competitive and target customers who prefer not to invest in capital expenditures and seek a more flexible, operational expenditure approach.
For how long have I used the solution?
I have worked with Teradata for around 15 years, from Teradata version six to version 14.
What do I think about the stability of the solution?
Teradata is highly stable. The workload management and software maturity provide a reliable system, unlike some newer cloud software that can exhibit misbehavior.
What do I think about the scalability of the solution?
Even if an organization starts small, Teradata offers the flexibility to expand by adding nodes or more storage, especially in cloud environments, without incurring downtime or taking systems offline.
How are customer service and support?
The technical support from Teradata is quite advanced. However, like any support service, there can be delays. I rate the support as eight out of ten because of their technical expertise.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
During my career, I've been involved primarily with Teradata, and some clients are migrating from Teradata to other technologies.
How was the initial setup?
The initial setup process is rated as eight out of ten. It's straightforward. That said, when migrating databases from other systems, challenges arise in redesigning the code to optimize parallelism.
What about the implementation team?
The implementation is managed by a separate customer service group within Teradata, not by me or my group.
What's my experience with pricing, setup cost, and licensing?
Teradata is high-quality at a premium price. Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
What other advice do I have?
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.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other
Teradata: exceptional support and performance, needs better name recognition
What do you like best about the product?
The performance and support is really great
What do you dislike about the product?
The name recognition under more junior developers, UX of teradata studio
What problems is the product solving and how is that benefiting you?
Aggregating data from several group companies, support with integrated data model, efficient reporting
Great conference
What do you like best about the product?
Like the presentations, round tables. Very informal, very helpful to see how the software works. To hear the good use cases for CLoud migration and AI.
What do you dislike about the product?
Location is great but it is nowehere near the airports which is not convinient for many of us.
What problems is the product solving and how is that benefiting you?
Creating a visibility of the data flows. Like Data DNA a lot. It could benefit sunsetting some legacy systems and data flows.
Teradata is very efficient and fast
What do you like best about the product?
Teradata vantage interface is very good.
What do you dislike about the product?
Versions are different and its not as user friendly as sas
What problems is the product solving and how is that benefiting you?
Business problems
Vantage Review
What do you like best about the product?
Super fast performance and easy to implement
What do you dislike about the product?
Winning hearts and minds of end users when they are stuck in their ways
What problems is the product solving and how is that benefiting you?
Agile Anaytics to support business teams
Complements my data science journey and distributed computing is well-implemented
What is most valuable?
It’s good. The educational resources are good. I think the idea of distributed computing is well implemented in Teradata, and that was likely their intention from the beginning. It's a foundation for big data processing. So far, I appreciate the product, but I haven't worked on a real project with it yet.
The courses are good. I don’t have a full certification yet; I just have some course certificates. In my first week, I completed around five or six courses, and now I work on a longer one. The content is well-organized, and I’m happy with the learning materials so far.
The data processing, clustering, and distributed computing are impressive. I’m curious to see how it works internally and how performance is accelerated. I’m also learning about how SQL and Teradata’s EXPLAIN feature work. So far, it's a very good product.
Teradata do have some AI models that can be used for in-database analytics. I haven’t tried them yet, but I know the product's K-Means implemented in the database, which is interesting because I’ve seen how challenging it is to parallelize K-Means in other environments. I plan to explore it more when the opportunity arises.
K-Means is implemented, and Teradata leverages its database operations for AI analytics. They use parallel processing, which is one of Teradata's main features.
I find Teradata's approach useful in its current state. I definitely want to explore it further.
What needs improvement?
Teradata has a few AI models, but in data science, we need more flexibility. We can’t be limited to what's pre-built in the database. Typically, data science projects require experimenting with different models, so the limitation is that Teradata only has basic machine learning models in its database. Data science requires more advanced modeling, and you always want to search for the best possible approach. Combining the capabilities of Teradata with custom data science models will take time to mature, but it shows promise.
Teradata needs to promote it more. If they're the first to introduce things like in-database AI, they should really focus on promoting that. I haven't heard much about it, but maybe that's because the environment I’ve been working in recently has been mostly open-source. I’ve been doing applied research and freelance work that didn’t rely on robust vendor products, so I never got a chance to compare Teradata to others. I have heard about Databricks, though.
For how long have I used the solution?
I started using it this month, so my experience is very recent.
Which solution did I use previously and why did I switch?
I've worked a lot with open-source tools, mainly Python, in my role.
I’ve worked with IBM Cognos before, but that was just part of a solution, mainly for VPN dashboards. However, I wasn’t a specialist in business intelligence, so this is new to me. Teradata complements my data science journey.
Which other solutions did I evaluate?
From my perspective, I only started using it because it's needed for my current job. Before this, I didn't consider Teradata better than Oracle or GV2A. I think it's better than GV2A, but Oracle is more robust. Teradata has its customers, but I didn’t really compare them before because business intelligence and data warehousing were not my areas of focus. IBM was behind both Oracle and Teradata in this field, but I am not sure exactly how Teradata stands in comparison.
In my data science journey, I realized that my weak point was data analysis and data warehousing, which is why I’m happy to be working with Teradata now. It's helping me fill that gap.
What other advice do I have?
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.
Good support!
What do you like best about the product?
Teradata is a great partner and has a qualified and very available support team. The post-sales experience is very good and the service team is dedicated to working with the customer to improve usage. I would also like to highlight the excellent documentation that the tool has.
What do you dislike about the product?
I would consider improvements in the operation to accommodate languages other than English and become more diverse in adoption.
What problems is the product solving and how is that benefiting you?
High volume data processing to meet aggressive delivery SLAs. The tool has good stability and good support ensures quality in operations.
Vantage in my organization!
What do you like best about the product?
We like its processing capacity and versatility both to be able to provide a semantic layer with the objective of building dashboards, and to provide data to transactional systems.
What do you dislike about the product?
Based on what we have contracted in the organization today, we are missing a tool that allows us to integrate different platforms.
What problems is the product solving and how is that benefiting you?
The use of Teradata in the organization is intensive since it not only supports the semantic layer to perform the organization's BI (mainly given by management reports and dashboards) but is also used to provide customer information to transactional systems. that are processed in the DW useful for the sales and customer experience areas.
More than 50% of the discounts on consumer purchases that we make to clients are made with a model implemented in Teradata
More than 90% of commercial leads for campaigns are provided by models implemented in Teradata
We carry out the segmentations to offer segmented prices for loans and deposits in Teradata.
More than 50% of the discounts on consumer purchases that we make to clients are made with a model implemented in Teradata
More than 90% of commercial leads for campaigns are provided by models implemented in Teradata
We carry out the segmentations to offer segmented prices for loans and deposits in Teradata.
Learning about DW implementations and their use in business solutions
What do you like best about the product?
The use of Teradata in the organization is intensive since it not only supports the semantic layer to perform the organization's BI (mainly given by management reports and dashboards) but is also used to provide customer information to transactional systems. that are processed in the DW useful for the sales and customer experience areas
What do you dislike about the product?
Teradata has room to improvement in orchestrate and integrate with other database engines, helping through AI to generate code and connection flexibility between local server and the cloud
What problems is the product solving and how is that benefiting you?
In our organization and from the commercial intelligence area we use Teradata Vantage to solve customer segmentation, behavioral analysis to assign differential prices of our products and data-based solutions that collaborate with transactional systems, such as granting pre-approved loans or benefits granted in account for promotions with associated businesses
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