Our use cases were related to banks and other financial institutions.
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Teradata Vantage is a comprehensive analytical platform
What do you like best about the product?
Teradata Vantage provides a very advanced SQL engine with many in-database functions that allow to effectivelly implement all kinds of analytics - reporting, campaign targeting, machine learning. Teradata offers capabilities to store and process both structured and unstructured data. Sophisticated Workload Management gives administrators full control on how the compute resources are allocated based on the business priorities.
What do you dislike about the product?
The client tools for writing SQL queries have a room for improvement
What problems is the product solving and how is that benefiting you?
Teradata Vantage is used as a enterprise data warehouse that provides an enviroment for all types of analysis - reporting, campaign targeting, next best offer calculation, commissions, machine learning.
It solves almost everything necessary.
What do you like best about the product?
Response speed and the new analytical functionalities
What do you dislike about the product?
The applications for managing resources are not intuitive at all.
What problems is the product solving and how is that benefiting you?
It helps us in decision-making, in fraud control, and in understanding our customers.
Teradata Vantage
What do you like best about the product?
The performance of the system it's pretty good, the experience with the TASM the workload management solution it's also very positive
What do you dislike about the product?
we expected a better and more agile technical support
What problems is the product solving and how is that benefiting you?
We could increase the number of users, tables and databes by 5%, which lead to more business data use cases to leverage the Teradata computation where we could see an increase of 20% of the number of queries executed in the system.
Data modernization
What do you like best about the product?
The best features about Teradata Vantage are the workload management solution (TASM), the elastic performance on demand (EPOD), the pricing model, the Native Object Store (NOS)
What do you dislike about the product?
I think that the technical support should be better and more agile and the users web interfaces are pretty awful
What problems is the product solving and how is that benefiting you?
The workload management for a large organization with several companies that have specific needs.
Useful Multi-Cloud Data Platfrom
What do you like best about the product?
The most useful feature in my opinion, With Deployment Flexibility, Vantage offers multi-cloud deployment options, allowing businesses to run their analytics in public, private or hybrid clouds. It provides flexibility and optimizes costs.
What do you dislike about the product?
Customization Restrictions is an impression I don't like that caught my eye. Some users will face limitations in customizing certain aspects of the platform to suit specific business needs without extensive development work.
What problems is the product solving and how is that benefiting you?
I think he is very successful in Data Silos and Integration.
Through Unified Data Analytics, Teradata Vantage integrates data from disparate sources to provide a single, comprehensive view of an organization's data.
Through Unified Data Analytics, Teradata Vantage integrates data from disparate sources to provide a single, comprehensive view of an organization's data.
Teradata Vantage
What do you like best about the product?
Teradata is a vendor who has an extensive quantity of services, for our company is a needed in a day-by-day support. A company oriented to data driven culture, Teradata brings an excellent support.
What do you dislike about the product?
I don't dislike any specific product or service.
What problems is the product solving and how is that benefiting you?
Teradata brings a complete solution for a Data Oriented companny. Solve all the end to end solution for Ingestion and Datawarehousing, Analytics and we are experimenting ML solution with Teradata Vantage.
Can handle large financial transactions but has limitations in loading unstructured data
What is our primary use case?
What is most valuable?
The tool's most valuable feature is the warehousing model.
What needs improvement?
Azure Synapse SQL has evolved from a solely dedicated support tool to a data lake. It can store data from multiple systems, not just traditional database management systems. On the other hand, Teradata has limitations in loading flat files or unstructured data directly into its warehouse. In Azure Synapse SQL, we can implement machine learning using Python scripts. Additionally, Azure Synapse SQL offers advanced analytical capabilities compared to Teradata. Teradata is also expensive.
For how long have I used the solution?
I have been using the product for three to four years.
What do I think about the stability of the solution?
I'm working in a very stable environment with Teradata. We have a lot of flexibility, especially in terms of automation.
How are customer service and support?
I haven't contacted the tool's support yet.
Which solution did I use previously and why did I switch?
I have used Azure Synapse SQL. Regarding Teradata, I've only explored it for proof of concept purposes. As a gold partner of Microsoft, we recommend Azure Synapse SQL. However, Teradata seems to be the preferred option when handling large transactions over Azure Synapse SQL. While I haven't explored Teradata extensively, based on colleague feedback, it's considered ideal for financial transactions involving millions to billions of records per day. On the other hand, Azure Synapse SQL is more suited for data warehousing and operational reporting.
How was the initial setup?
The tool's deployment is complex.
What's my experience with pricing, setup cost, and licensing?
The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000.
What other advice do I have?
We used Teradata for proof of concept purposes but eventually transitioned to Azure Synapse SQL for managing large data volumes. With Azure Synapse SQL, we could load nearly 130 million records daily from a single data source, and we had eight data sources. This data-loading process took only four hours to complete. It is also based on the .NET framework.
If you're familiar with SQL, working with Teradata might be considered complex compared to Microsoft SQL or Oracle.
If you want a tool to handle financial transactions and generate simple dashboards, Teradata might be the faster option. However, if you also require machine learning, operational reporting, etc. I would recommend considering alternatives such as Azure Synapse SQL.
I rate the overall product a seven out of ten.
Helps with data warehousing and offers good analytics capabilities to users
What is our primary use case?
I use the solution in my company for reporting.
What needs improvement?
The tool's flexibility and capacity for expansion are areas of concern where improvements are required.
For how long have I used the solution?
I have been using Teradata for two years. My company is an end user of the product.
What do I think about the stability of the solution?
It is a stable solution. Stability-wise, I rate the solution a nine out of ten.
What do I think about the scalability of the solution?
In our company, when it comes to Teradata, we have an appliance in place, and we plan to upgrade to another appliance that offers more capacity.
I rate the product's scalability to be below average.
Around 100 people in my company use the tool.
The tool is used daily in my company.
How are customer service and support?
It is difficult to get someone with technical expertise involved with the solution's technical support team. I rate the technical support a four out of ten.
How would you rate customer service and support?
Neutral
Which solution did I use previously and why did I switch?
I only have experience with Teradata.
How was the initial setup?
I rate the product's initial setup phase as above average on a scale of one to ten, where one is difficult, and ten is easy.
The solution is deployed on an on-premises version.
What about the implementation team?
For installation, my company only used the services offered by Teradata.
What's my experience with pricing, setup cost, and licensing?
I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive.
Which other solutions did I evaluate?
My company has evaluated other options against Teradata, and I see that it has been used in our company for the past four years.
What other advice do I have?
The tool did enhance our company's data warehousing and analytics capabilities.
Teradata was crucial for our company's data analysis, especially for every campaign we run, including the pricing, exercises, and analysis.
Teradata's feature, which had the most significant impact on our company's data management, revolves around the analytics feature it offers.
I rate the tool an eight out of ten.
Which deployment model are you using for this solution?
On-premises
I improve my performance
What do you like best about the product?
All its tools are easy to use, its advanced analyzes allow me to make the best decisions by visualizing the data that allows for improved clarity of the graphs and what can be better, it has allowed me to have an improved strategy with the modern and saved database in the cloud with assurance that the data is safe.
What do you dislike about the product?
The process of learning to use is long and confusing at times, and its price also seems high to me.
What problems is the product solving and how is that benefiting you?
It allows for a more concrete analysis of the data, with its technology it makes data that are complex to structure easier and visibly easier to read and understand.
teradata vantage
What do you like best about the product?
teradata vantage user friendly workeasy to intgrate and implementaion .and good documentaiton ofwork amximun uses tools best features easy to collboraing deploy and mange database and good analytical tools larg scale managing the data and data warehouses manging mangement data analtyics.communcation customer based models and learning good features the company provided good support good technology and consltancy and most frequently sers this used and god security and good cloud features and data visualization quality of work
What do you dislike about the product?
expensive cost
diffculity technical issues complexity not easliy mange
data cannot restored
diffculity technical issues complexity not easliy mange
data cannot restored
What problems is the product solving and how is that benefiting you?
good work real time personalized and good help analytics and customer data mange and collaboration
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