Teradata Vantage: A Powerful Analytics Platform with Advanced Capabilities and Complex Integration
What do you like best about the product?
As a solution architect in data warehousing, big data, and business intelligence, my experience with Teradata Vantage has been defined by its robust scalability, seamless data integration via Query Grid, and advanced analytics capabilities.
What do you dislike about the product?
It demands a strong technical foundation to maximize its potential.
What problems is the product solving and how is that benefiting you?
Teradata Vantage solves complex data integration and analytics challenges by unifying data from multiple sources and enabling advanced analytics through its Query Grid. This benefits us by providing real-time insights, improving decision-making, and allowing us to scale analytics efficiently across various platforms and large datasets. It also enhances data management and speeds up our ability to extract actionable insights.
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.
Solid Data Warehouse, lack on Marketing and future vision on innovation
What do you like best about the product?
It is a Solid solution. Corporate Data Warehouse, robust
What do you dislike about the product?
Not sure about innovation roadmap. It is like a legacy.
What problems is the product solving and how is that benefiting you?
Backup and Disaster Recovery. We are in a DataMOver project
very good
What do you like best about the product?
Sales Support is very good hare in brazil
What do you dislike about the product?
Don`t have techinicall support in portuguese linguagem
What problems is the product solving and how is that benefiting you?
Process high data volume and have a good support
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.
Teradata Vantage
What do you like best about the product?
Fast ingestion data from onpremise to cloud
Good Post Sales
What do you dislike about the product?
No language support in Portuguese
Bad documetation
What problems is the product solving and how is that benefiting you?
High performance to execute jobs
Good Support to resolve problems
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.
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
the platform perfectly meets the defined scope
What do you like best about the product?
analytical functions
scalability
support and people
What do you dislike about the product?
perhaps it is not typical of the platform, but certain changes involve strong management of the infrastructure area, which causes delays and frictions when enabling a new feature
What problems is the product solving and how is that benefiting you?
I don't understand the question
Excellent experience using Teradata
What do you like best about the product?
Performance
easy to use
flexibility
customer support
What do you dislike about the product?
The only dislike about Teradata is the price.
What problems is the product solving and how is that benefiting you?
Access to data, performance to retrieve the information
