Efficient Data Management with Stellar Performance
What do you like best about the product?
I use Teradata Vantage for data warehousing and running complex SQL queries. I appreciate its strong performance with datasets and its ability to manage and analyze large data efficiently. The stability and parallel capabilities are quite impressive, helping me process large amounts of data quickly without performance issues. After migrating from an on-premise data warehouse solution, I've noticed improved stability and performance, which has been really beneficial. The transition was smooth, and my team, who initially found it very easy to set up, is now enjoying using it.
What do you dislike about the product?
Maybe you could make it easier for new joiners. The setup and administrative process can seem a bit complicated at the beginning.
What problems is the product solving and how is that benefiting you?
I use Teradata Vantage for managing and analyzing large data efficiently. It helps in processing large amounts of data quickly without performance issues, providing strong performance with datasets, stability, and parallel capabilities.
Blazing Fast Queries, Powerful SQL Engine
What do you like best about the product?
I use Teradata Vantage for various tasks like figuring out customer churn rate and running Python scripts against my large datasets. The biggest headache it saves me from is the long waiting time for getting the required data. I no longer need to export data to CSV; I can directly query Teradata Vantage and get results promptly. I like the SQL engine's power of Teradata Vantage the most because joining queries on millions of rows just works like a charm. Instead of searching through the whole table, it goes straight to the record. Teradata Vantage's primary index strategy is what makes it faster than other tools out there. Setting it up with Azure was easy, especially after following the documentation correctly.
What do you dislike about the product?
Honestly for the scale i'm working at, i havent found any shortcomings yet in Teradata Vantage
What problems is the product solving and how is that benefiting you?
I use Teradata Vantage to figure out customer churn and run Python scripts on large datasets. The biggest benefit is saving time by directly querying for prompt results without exporting to CSV.
Seamless Agent Builder + RAG Integration with Helpful Parallelization
What do you like best about the product?
So i did some poc using agent builder it built some poc around parallelization design of agent flow which really helpful and used its vector store for the rag pipeline i Integrated 1 agent with the rag pipeline tge integration within the tools are seemless.
What do you dislike about the product?
Budget might overkill for small projects, l feel the ui needs to be veey engaging and responsive when we use a no code, low code tool i feel it to be bit non responsive as expected sometimes while making the workflows.
What problems is the product solving and how is that benefiting you?
For me, it solved the whole process of prototyping my agentic solutions through to production deployment. Everything that used to take tons of fine-tuning and testing feels much more streamlined now. All the tools are in-house, so I don’t have to jump between different tools for monitoring, DB checks, vectors, agent checks, or deployment checks—it’s all under one roof.
Delivers consistent performance and enables advanced analytics across complex data environments
What is our primary use case?
I used this technology for large periods of time during my career. I would highlight Teradata's stability, technological maturity, and the availability of strong documentation and best practices. Overall, I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making.
I work in different kinds of organizations, such as government or enterprise, who decided to increase their experience or prepare the best way to process data. During my work, I encountered different cases, and Teradata was the best solution.
Teradata stands out as a solid platform for managing and analyzing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments.
What is most valuable?
Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics.
Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing.
Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making.
Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments.
A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable.
Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.
For how long have I used the solution?
For approximately ten big projects, Teradata integrates modern analytics capabilities, including machine learning, predictive modeling, and advanced data processing, which help organizations move beyond descriptive analytics towards proactive and strategic decision-making.
What do I think about the stability of the solution?
Teradata stands out as a powerful and reliable platform for transforming enterprise data into meaningful insights, operational efficiency, and strategic value. Teradata is engineered to deliver high performance at scale. Its massively parallel process architecture allows the platform to distribute workload efficiently, enabling organizations to run heavy analytic queries without compromising speed or stability.
Teradata offers strong scalability. Its architecture allows the platform to support different kinds of processes and to expand smoothly as data volumes, users, and workloads grow. In my experience, it handles growth efficiently without disruptions or performance degradation.
What do I think about the scalability of the solution?
Teradata supports hybrid and multi-cloud flexibility. Teradata supports multiple deployment models including on-premise, public cloud, AWS, Azure, GCP, multi-cloud, and hybrid cloud. This flexibility allows organizations to scale according to their needs, balancing performance, cost, and compliance requirements.
How are customer service and support?
Teradata's customer support is solid. They provide helpful guidance and resources when needed.
I would rate Teradata's customer support an 8 out of 10. They are responsive and knowledgeable, and the documentation is very helpful.
Which solution did I use previously and why did I switch?
I managed different kinds of technologies and used other tools previously, but Teradata's overall performance and reliability are clearly superior.
What was our ROI?
In my experience, I can see different scenarios around metrics and different kinds of topics. In my case, Teradata was a great experience for different scenarios. It is necessary to include machine learning, predictive models, and advanced data processing. Independent research showed that Teradata VantageCloud users achieved an average ROI of 427% across three years with payback under a year, demonstrating the platform's ability to deliver a strong financial return. In my experience, I've seen accelerated analytics and operational benefits aligning with this finding.
What's my experience with pricing, setup cost, and licensing?
The cost was incredible because the efficiency of this technology is very useful. Teradata is a technology that works very hard and quickly. Teradata is known for its stability and security. Role-based access control (RBAC), strong audit and compliance features, high availability, fault tolerance, and encrypted data at rest and in-transit are key features. These features make it suitable for mission-critical operations. In all kinds of processes, Teradata is very fast.
Which other solutions did I evaluate?
Other options would be difficult to choose because Teradata has different kinds of scenarios. I considered several alternatives in data management and analytics platforms before Teradata. After comparing architecture, performance, and scalability, Teradata offered the strongest fit for large-scale analytical workloads.
What other advice do I have?
My advice for anyone considering Teradata is to fully explore its scalability and analytical capabilities. Teradata is a strong choice for organizations that need high-performance data processing and want a platform that can grow with their workload. Take advantage of its documentation, best practices, and ecosystem of tools to get the most value from the platform.
Teradata is a strong option for teams looking for reliability, high performance, and an enterprise-grade environment for advanced analytics. I would rate this review a 10 out of 10.
Ligthning Fast Data
What do you like best about the product?
The power and the speed to return a large data analysis
What do you dislike about the product?
Nothing. It's a good company.
We are very well served.
What problems is the product solving and how is that benefiting you?
We now can process invoices on a large scalel. Blocking shell companyies.
Best tool in the Shop
What do you like best about the product?
a very reliable database that can withstand any thing thrown at it and never flinch.
What do you dislike about the product?
Sometimes teradata sales folks do not seem to listen to what we are telling them
What problems is the product solving and how is that benefiting you?
using teradata we can bring the whole company and represent it in a single environment using their industry models
Teradata vantage On Premise product review
What do you like best about the product?
Teradata on premise solution with database functions available as part of SQL queries.
What do you dislike about the product?
The Teradata studio software complexity.
What problems is the product solving and how is that benefiting you?
Teradata ML package running machine learning functions and data processing in database and in memory which is faster.
Ten years and still going
What do you like best about the product?
Integration of functionality into a cohesive package.
What do you dislike about the product?
Smaller community of users than other popular platforms.
What problems is the product solving and how is that benefiting you?
Teradata Vantage provides us with a cost effective platform that helps meet our performance goals as our analytics usage continues to develop and grow.
A reliable and scalable analytical solution for public banking
What do you like best about the product?
What I value most about Teradata Vantage is its ability to efficiently process large volumes of data, its scalable architecture, and its seamless integration with visualization and development tools. Additionally, the specialized technical support has been key to the success of the implementation. The ability to perform complex analyses directly on the data warehouse without needing to move the data, compatibility with languages like SQL, Python, and R, and the ease of consolidating multiple sources of information into a single platform. This has allowed for improved strategic and operational decision-making at Banco Nación.
What do you dislike about the product?
Some administrative interfaces could be more intuitive for non-technical users. It would also be useful to have more localized documentation and examples adapted to the Latin American context. Finally, the licensing model could offer greater flexibility for public environments with budgetary constraints.
What problems is the product solving and how is that benefiting you?
Teradata Vantage has enabled the resolution of critical issues related to data fragmentation, slow information processing, and lack of traceability in regulatory reports. Thanks to its scalable architecture and integration capability, we have managed to consolidate multiple sources into a single institutional data warehouse, improving operational efficiency, data quality, and strategic decision-making.
Teradata Vantage Review
What do you like best about the product?
1. Operational Efficiency Gains – By consolidating multiple legacy data systems into Teradata Vantage, the bank could significantly reduce IT maintenance costs, streamline data management, and cut down on duplicate reporting processes. This may result in millions in annual savings on infrastructure and staffing resources.
What do you dislike about the product?
2. Specialised Skills Requirement – Staff may require specific training, leading to temporary productivity dips during the adoption phase.
What problems is the product solving and how is that benefiting you?
4. Improved Customer Insights – By leveraging integrated customer data, the bank can design more targeted marketing campaigns, increasing product cross-sell and customer retention, boosting revenue per customer.
