
Reviews from AWS customer
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i am using teradata for connect multi cloud
Teradata Vantage provides strong analytical capabilities for structured data that offers performence
Experienced Advanced Analytics Platform with a touch of AI and ML
Fisrt Impression of Teradata Vantage
Excellent
Teradata Vantage to be a valuable and powerful tool for their data analytics needs
Needs improvement in its stability, support and pricing
What is our primary use case?
What is most valuable?
It's very mature from as technology perspective.
What needs improvement?
The solution overall needs improvement in its stability, support and pricing.
For how long have I used the solution?
I have been using Teradata for 23 years.
What do I think about the stability of the solution?
The stability is bad.
What do I think about the scalability of the solution?
Two clients are using the solution.
How was the initial setup?
The initial setup is straightforward.
What other advice do I have?
Overall, I rate the solution a one out of ten.
Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities
What is our primary use case?
The use cases vary based on the projects. In most projects, I worked with ETL tools like Informatica alongside Teradata. However, there was a specific project where we built a real-time data warehouse for active directory data using Teradata.
Oracle was the source system, with potential additional sources feeding into the Oracle database. We used Unix scripting to extract data from Oracle and leverage a colleague's expertise in Unix for the Teradata portion.
We wrote ETL queries and performed data profiling before loading the data into the target data warehouse for further processing by other tools.
Our task was to create a data warehouse, an active data warehouse in Teradata.
How has it helped my organization?
We created and constructed the warehouse. We used multiple loading processes like MultiLoad, FastLoad, and Teradata Pump. But those are loading processes, and Teradata is a powerful tool because if we consider older technologies, its architecture with nodes, virtual processes, and nodes is a unique concept.
Later, other technologies like Informatica also adopted the concept of nodes from Informatica PowerCenter version 7.x. Previously, it was a client-server architecture, but later, it changed to the nodes concept. Like, we can have the database available 24/7, 365 days. If one node fails, other nodes can take care of it. Informatica adopted all those concepts when it changed its architecture. Even Oracle databases have since adapted their architecture to them.
However, this particular Teradata company initially started with its own different type of architecture, which major companies later adopted.
It has grown now, but initially, whatever query we sent it would be mapped into a particular component. After that, it goes to the virtual processor and down to the disk, where the actual physical data is loaded.
So, in between, there's a map, which acts like a data dictionary. It also holds information about each piece of data, where it's loaded, and on which particular virtual processor or node the data resides. Because Teradata comes with a four-node architecture, or however many nodes we choose, the cost is determined by that initially. So, what type of data does each and every node hold? It's a shared-no architecture.
So, whatever task is given to a virtual processor it will be processed. If there's a failure, then it will be taken care of by another virtual processor.
Moreover, this solution has impacted the query time and data performance.
In Teradata, there's a lot of joining, partitioning, and indexing of records. There are primary and secondary indexes, hash indexing, and other indexing processes.
To improve query performance, we first analyze the query and tune it. If a join needs a secondary index, which plays a major role in filtering records, we might reconstruct that particular table with the secondary index.
This tuning involves partitioning and indexing. We use these tools and technologies to fine-tune performance.
When it comes to integration, tools like Informatica seamlessly connect with Teradata. We ensure the Teradata database is configured correctly in Informatica, including the proper hostname and properties for the load process. We didn't find any major complexity or issues with integration. But, these technologies are quite old now.
With newer big data technologies, we've worked with a four-layer architecture, pulling data from Hadoop Lake to Teradata. We configure Teradata with the appropriate hostname and credentials, and use BTEQ queries to load data.
Previously, we converted the data warehouse to a CLD model as per Teradata's standardized procedures, moving from an ETL to an EMT process. This allowed us to perform gap analysis on missing entities based on the model and retrieve them from the source system again. We found Teradata integration straightforward and compatible with other tools.
What is most valuable?
What needs improvement?
Teradata is an expensive tool. Like, if you're already using Microsoft products like Windows, they'll market all their products together. And with the rise of cloud technologies, companies will adopt solutions that offer them some privileges or facilities.
Similar to how SAP does it in the market, so do Microsoft and other companies. Even Oracle and other such tools are quite commonly seen compared to Teradata's competitors in everyday solutions.
For how long have I used the solution?
I have been using this solution for seven years.
How are customer service and support?
Teradata's technical support is responsive. Although I haven't directly interacted with them, my colleagues at Captivine have.
They've efficiently resolved queries, adhering to SLAs, often within two to three days, even with time zone differences between India and the US. This quick turnaround is especially crucial for client or production issues that require urgent attention.
We didn't frequently encounter issues with Teradata because the tools are robust and well-documented. Teradata provides comprehensive documentation and resources with the purchase of a license, aiding our day-to-day operations.
There was one exception case, but overall, we managed well with the resources provided by Teradata.
How would you rate customer service and support?
Neutral
Which solution did I use previously and why did I switch?
Currently, I work closely with the AI and ML team, focusing on frameworks like NumPy.
At my company, we use Snowflake as a data warehouse. I primarily worked on the ETL side, ensuring data accuracy, governance, modeling, and loading data into the Snowflake warehouse. But it was part of a particular project.
I've also used Oracle as a source and target, as well as SQL Server. In my experience at Capgemini North America, most clients like Elkhared, Levi's, General Electric, etc., used Teradata as their primary database.
While the architecture has evolved with new technologies, Teradata remains a powerful tool.
What's my experience with pricing, setup cost, and licensing?
Teradata is an expensive tool.
Teradata, along with Informatica, is expensive. Teradata is still widely used in the Middle East, especially in banks across Dubai and Saudi Arabia, indicating its continued relevance. Compared to open-source solutions and other market offerings, Teradata remains on the higher end of the pricing spectrum.
Like, if you're already using Microsoft products like Windows, they'll market all their products together. And with the rise of cloud technologies, companies will adopt solutions that offer them some privileges or facilities.
Similar to how SAP does it in the market, so do Microsoft and other companies. Even Oracle and other such tools are quite commonly seen compared to Teradata's competitors in everyday solutions.
What other advice do I have?
Considering its strength in data warehouse technology, I'd rate it between a nine out of ten. For data warehousing specifically, it has a lot of built-in components that can handle various requirements.
However, there's also big data technology to consider these days. But for a traditional data warehouse environment, Teradata is a very successful solution, a very good database, actually.
A stable solution that can be used for data warehousing, but its scalability and pricing could be improved
What is our primary use case?
We use Teradata IntelliFlex for data warehousing, which is a way of presenting data for faster retrieval.
What is most valuable?
The solution's banking model, called FSLDM (Financial Services Logical Data Model), is sophisticated and good.
What needs improvement?
The solution’s pricing, scalability, and technical support response time could be improved.
For how long have I used the solution?
I have been using Teradata IntelliFlex for one year.
What do I think about the stability of the solution?
Teradata IntelliFlex is a stable solution.
What do I think about the scalability of the solution?
Since the solution is limited to its hardware, it has issues and limitations about scalability. Around 100 users are extensively using the solution in our organization.
How are customer service and support?
The solution's technical support team is supportive but takes two to three days to respond.
How was the initial setup?
Teradata IntelliFlex comes with hardware that is already deployed and preconfigured.
What about the implementation team?
You purchase, deliver, and install the hardware and software to deploy the solution. People from Teradata will configure the software for you, and it will be ready.
What was our ROI?
Teradata IntelliFlex provides a lot of value to our organization.
What's my experience with pricing, setup cost, and licensing?
Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive.
Which other solutions did I evaluate?
Before choosing Teradata IntelliFlex, we evaluated other options like SQL Server and Oracle. We chose Teradata IntelliFlex because of its core competitive advantage in terms of a readymade model for the financial sector.
What other advice do I have?
All analytics and reporting in our organization are done through the solution. Two people are required to maintain and operate the solution. We need five data modelers to design and develop the solution.
I advise users not to get stuck with the solution since it's expensive. The change on this platform is also expensive since it has so many associations with other layers. Currently, the new architecture for the data is to eliminate its complexity because it's a complex solution.
Overall, I rate Teradata IntelliFlex a seven out of ten.
Which deployment model are you using for this solution?
Teradata Vantage : scallable unified analytics platform
Parallel Processing Efficiency
Scalablity
Complex Implementation
User Interface Complexity
Customer Experience
Fraud Detection and Preention
Custoer Churn Prevention