Teradata Delivers Fast, Scalable Analytics and AI in One Platform
What do you like best about the product?
Teradata provides the visibility and scalability to handle massive volumes of data, delivering very fast query performance. I also like that it supports both traditional analytics and modern AI workloads within a single platform.
What do you dislike about the product?
It becomes very expensive when data volume and computer usage grow and particularly for organisations with heavy analytics workloads. The UI is also not very intuitive as per newer BI Analytics Tools
What problems is the product solving and how is that benefiting you?
It is improving our work efficiency by helping us to making decisions, speed, data silos and allowing analysts to ruk complex queries more efficiently.
Secure, Flexible Analytics Platform for SQL, ML, AI, and Geospatial
What do you like best about the product?
It supports various analytic types (SQL, ML, AI , geospatial) on a single platform. And it has deployment flexibility. One other thing I like is that it is secure.
What do you dislike about the product?
It is expensive as compared to other competitors. It is a bit complex and challenging for new users, not much user friendly. The user interface is very outdated.
What problems is the product solving and how is that benefiting you?
As a business analyst I use it to run SQL queries to extract insights from huge datasets. I also use it in building reports and dashboards. It also helps me to analyse customer behaviour, sales trends, or operational performance.
Strong Performance for Enterprise Data Warehousing
What do you like best about the product?
Teradata Vantage offers efficient distributed query processing, strong parallel performance, and reliable handling of large enterprise datasets across hybrid cloud environments.
What do you dislike about the product?
Initial setup, administration, and optimization can be complex, and troubleshooting sometimes requires deep platform expertise. Some workflows also feel less flexible compared to newer cloud-native analytics platforms.
What problems is the product solving and how is that benefiting you?
Teradata Vantage solves large-scale data warehousing and analytics challenges by providing high-performance parallel processing, centralized data management, and scalable analytics capabilities across hybrid environments. This improves query performance, operational efficiency, and business insights.
Centralized Data Source, Handles Workloads Well but Rough Learning Curve
What do you like best about the product?
I like that Teradata Vantage solves the concurrent problem well. We have a lot of people using it simultaneously, with analysts running ad-hoc queries, dashboards refreshing, and ETL jobs running in the background. The workload management handles all of that without things falling over. It also provides one place where all our data lives, which has helped a lot with everyone having a 'single source of truth.'
What do you dislike about the product?
Learning curve is rough. Like, if you are new to Teradata you are gonna write queries that run forever and you won't know why, and then someone senior is gonna look at it and go 'your primary index is wrong' or 'you've got skew'. Also, the tools feel old.
What problems is the product solving and how is that benefiting you?
Teradata Vantage centralizes our data, providing one source of truth and streamlining decision-making. It also efficiently manages concurrent workloads, accommodating many users and processes simultaneously without issues.
Unifies Legacy and New Data Streams Seamlessly
What do you like best about the product?
The advantage we get is that we have multiple systems or DB's which are legacy and some are new. Vantage helps us unify all their data stream into one
What do you dislike about the product?
Some legacy softwares are incomaptible with Vantage. This causes some issues with us either mnaually adding this data in our pipeline or using a mapper function
What problems is the product solving and how is that benefiting you?
As mentioned earlier since our org is little old we have multiple DB's from older generations and/or legacy systems which we are still utilizing. Vantage is helping us unify their data stream into one along with pulling in streams from newer systems.
Boosts Analytics Efficiency with Scalability and Speed
What do you like best about the product?
I like Teradata Vantage's scalability and speed in processing large datasets, which makes analytics much more efficient. Its scalability lets us expand analytics as data grows without performance loss, while the speed shortens query times, helping teams access insights faster and make timely decisions.
What do you dislike about the product?
Some features feel complex to configure, and the interface could be more intuitive for new users. Advanced configuration options can be complex, especially around workload management and query optimization. The interface could be more user-friendly with cleaner navigation and simplified dashboards for new users. It required some technical expertise, especially around configuration.
What problems is the product solving and how is that benefiting you?
I use Teradata Vantage for advanced analytics and data warehousing, handling complex analytics efficiently on massive datasets. It reduces query time, simplifies data management, and offers scalability and speed, enabling quick access to insights and timely decision-making.
Integrated Features, Excellent for Analytics
What do you like best about the product?
I like that Teradata Vantage has all the things integrated in one place, which is very good.
What do you dislike about the product?
It is a bit expensive:)
What problems is the product solving and how is that benefiting you?
I use Teradata Vantage for analytics, creating features, visualizing data, and building dashboards. It integrates everything in one place, which is very convenient.
Powerful Performance, But High Cost Barrier
What do you like best about the product?
I like Teradata Vantage for its performance and scale. Its massively parallel processing architecture distributes queries across thousands of nodes simultaneously, making it perfect for petabyte-scale data without performance degradation. The major optimizer is perfect, and I appreciate the workload management and qualified calls. Hybrid cloud flexibility and high concurrence are also standout features, along with its rock-solid reliability and built-in data protection.
What do you dislike about the product?
The cost is really the biggest barrier by far. Licensing is enterprise-level expensive, and the pricing model isn't transparent. The UI/UX also could be improved. The setup and administration, the cloud-native field, and the developer experience as well could be better. The initial setup was really not that easy and it requires specialized DBAs for on-prem deployment. Vantage on cloud is easier, but it's not that simple.
What problems is the product solving and how is that benefiting you?
I like Teradata Vantage for its performance and scalability. It distributes queries across thousands of nodes perfectly, without degrading performance. Its hybrid cloud flexibility, reliability, and built-in data protection help manage workloads effectively.
Powerful platform for large scale data analytics and performance
What do you like best about the product?
What I like best about Teradata Vantage is its ability to handle large scale data processing with strong performance and reliability. It works well for complex queries and analytics workloads, especially when dealing with huge datasets. I also like the flexibility it provides with support for multiple analytics approaches like SQL, machine learning, and advanced analytics in one platform. This makes it useful for both technical and business teams.
What do you dislike about the product?
What I dislike about Teradata Vantage is that it can be complex for new users, especially if they are not familiar with data warehousing concepts. The setup and configuration may take time, and it can feel expensive compared to some modern cloud native alternatives. In some cases, query optimization requires expertise to get the best performance.
What problems is the product solving and how is that benefiting you?
Teradata Vantage solves the problem of managing and analyzing large volumes of data efficiently. It brings data from different sources into a unified platform and allows running complex analytics without performance issues. For me, it helps in generating insights faster, improving reporting accuracy, and supporting better decision making. It also reduces the need to move data across multiple tools, which simplifies the overall workflow.
Data processing has improved and now supports complex healthcare reporting needs efficiently
What is our primary use case?
Teradata's main use case for me is writing SQL according to business requirements from customers.
I can give you a specific example of how I use Teradata for a business requirement: recently, a customer had a requirement to look into the population of patient data in the healthcare industry, such as how many patients were discharged before a specific time of the day, and they had a couple of other conditions as well. I wrote the code to exclude those conditions and get the data of whether the patient was discharged before that given time or not.
I use Teradata mainly for SQL logics. When a customer has a business requirement, I write the SQL code in Teradata to meet those customer logics. I also do some side projects such as creating views to help me monitor or get to know the data a bit better.
What is most valuable?
Teradata offers great features; it is fast, faster compared to the previous applications that I used, and the scalability is good. The ability to run jobs in parallel is a good use case from Teradata.
The ability to run jobs in parallel has made my work easier. With the processing of jobs sequentially, that would hold the jobs and take more time compared to parallel processing inside Teradata. For instance, if we have data with 5 million records and we process it sequentially, then it has to go from one to 5 million. In Teradata, we can divide it into five different AMPS and process it as one to 1 million, five times in parallel. This is done based on the primary key; the data will be divided and processed in parallel to get the work done in 20% of the time compared to the previous one.
I can say that Teradata has positively impacted my organization, as the scalability and the performance has helped my organization and my team especially to process data better.
I can share a specific example of how scalability or performance improvements have helped my team: previously we were using Netezza, and compared to that, the data is getting processed in Teradata faster, and the data is ever-growing. Once we were struggling to process a particular amount of data previously, but in Teradata, due to the scalability, we were able to process it without any issues.
What needs improvement?
I choose 8 out of 10 for Teradata because there is always the scope for improvement. Currently, there are other no-code, low-code tools in the market.
For how long have I used the solution?
I have been using Teradata for close to two years now.
What do I think about the stability of the solution?
In my experience, Teradata is stable; I have not seen any downtimes or reliability issues.
What do I think about the scalability of the solution?
Teradata is helping us scale the data at the pace that we are going, so it is helping in scalability.
How are customer service and support?
I have not contacted Teradata support because I have got all the support from the documentation that is available online.
Which solution did I use previously and why did I switch?
I previously used Netezza, and for performance and scalability, we chose Teradata.
What other advice do I have?
I am satisfied with my thoughts about Teradata. I would rate this solution an 8 out of 10.
