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
Although relatively new to the product it is performing well
What do you like best about the product?
Support has been second to none from the TD team during implementation and ongoing support afterwards
What do you dislike about the product?
Nothing really that I can comment on has been negative
What problems is the product solving and how is that benefiting you?
Single source of data used by a number of our analytics and business users in general.
Reliability and repeatablility of data is key
Discovering Teradata Vantage
What do you like best about the product?
UI simple and familiar to anyone familiar with standard SQL technology. Appreciate the ease of integration with other non-database source files and the strategy of overlaying the technology to where both the data/processing sit.
What do you dislike about the product?
At the moment I cannot state any known "disadvantges/dislikes"; question remains around whether for my particular Use Cases to what extent the product enhances performance/scaleability; i.e. do I need this product and or the support of the Teradata Team to achieve the needs of my organisation?
What problems is the product solving and how is that benefiting you?
Helping to integrate disparate data sources.
Distributed processing.
On premise deployment of big data analytics technology.
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
Teradata Vantage - Best Analytics and Customer focussed Platform (Clearscape, CloudLake, AI/ML)
What do you like best about the product?
Teradata Vantage is a one shop platform for all the Enterprise needs to implement Datawarehouse, Cloudlakes and bring in best value to the Customers with the Clearscape Analytics, cloud agnostic hassle free implementations. Working for more than 18 years in this technology, recently admired the vantage SaaS offering and the vantage cloud console UI one of the bes cloud console with lot of capabilities in-built. The AI/ML capabilities and the improvements in the recent months has been outstanding and its helping larger clients user community with their Analytics and their models make its ease of reporting. One of the secured and 100% goverened platforms compliant with all industry standards and their cloud presence across different hyperscalers differentiate from the rest. Integration capabilities has been great, any customer can leverage their multi-cloud platform capabilities with the Vantage Cloud lake, NOS capabilities, Query Grid, DR solutions, Operational excellence in their SaaS model and integration with Microsoft fabric for running the serverless queries. Data Scientis can leverage their model with the BYOM, any notebookd created across other platforms can be integrated, use of 4D analytics and lot of in-built user-defined functions/capabilities provide best analytics across the data. Lot more capabilities to be announced and its going to make Teradata Vantage a great platform in-comparison with other technologies like Snowflake/Databricks in the near future.
What do you dislike about the product?
Not much, in recent months their engineering teams really developed lot of capabilities making Teradata vantage a real Lakehouse platform with clearscape analytics and AI/ML capabilities.
What problems is the product solving and how is that benefiting you?
Recently we did the on-prem to saas migration to the TD vantage in Google cloud helps us to improve operations 5x, batch execution and better analytics from user perspective.
Best Cloud Platform Used until now for Data Analytics Purpose
What do you like best about the product?
We can utilize any language, Any data and most importantly any tool in order to extract the insights from your Data, here I loved the most about this product is the way they designed database.
What do you dislike about the product?
In my overall perspective, there is no such Dislike about this product. However,
What problems is the product solving and how is that benefiting you?
Generating data important factor which are helpful for Making company Bigger and also making client happy.
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
