We used its capabilities for critical tasks, particularly in the realm of recovery jobs. We capitalized on the database's ability to transfer entire blocks of data rather than just transactional information. This approach, especially when dealing with block-level data, proved significantly faster compared to other techniques such as UBC WAN.
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Power For Telco
What do you like best about the product?
The best part for having teradat vantage is it can work with on premises storage. Although it is provided by TD itself
What do you dislike about the product?
It has very costly space, if number of users not optimised the system can be very slow.
What problems is the product solving and how is that benefiting you?
Teradata has made easier for us to manage DWH, and data flows and our AD HOC team can access the data from internal access with ease.
Unified and efficient query processing that seamlessly integrates and analyzes data from heterogeneous sources
What is our primary use case?
What is most valuable?
It is a highly robust software solution.
What needs improvement?
The primary challenge with Teradata lies in its cost structure, encompassing subscription fees, software licenses, and hardware expenses. The management of these pricing components can be notably high. I believe there's room for improvement and investment in Teradata's ETL engine, making it more competitive with tools like IBM DataStage. Considering the growing importance of big data ecosystems, it could benefit from enhanced compatibility with platforms like Cloudera and tools like Apache Spark. It's essential to bridge the gaps and make Teradata's tools more accessible and user-friendly in the evolving landscape of data virtualization and analytics.
For how long have I used the solution?
I have been using it for three years.
What do I think about the stability of the solution?
I would rate its stability capabilities nine out of ten.
What do I think about the scalability of the solution?
I would rate its scalability abilities eight out of ten.
How are customer service and support?
The tech support has been commendable. They adhere to the SLAs and respond promptly to our issues. We haven't experienced any significant delays on their part. I would rate it nine out of ten.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
I've collaborated with a multitude of vendors, including Dell for EMC storage, Oracle, Nautilus, and Ericsson for the solution team and platform methodologies. I'm currently deeply involved in projects centered around Big Data and the emerging Cloudera ecosystem. The primary factor driving the adoption of Cloudera and similar big data environments is the cost efficiency they offer, coupled with their ability to seamlessly integrate with multiple data sources.
How was the initial setup?
The initial setup was straightforward.
What about the implementation team?
The deployment process doesn't require an extended timeframe, it can be accomplished in just three days. Additionally, you may allocate an extra two days for preliminary preparations, such as gathering data from the current data house. Approximately 20% of the data house considerations have been factored into the planning. I've encountered certain challenges during the database server upgrades, notably transitioning from version 15.7 to 16.2. Despite being a recurrent process, the notable differences were primarily observed in the extraction engine, particularly in the increased number of workflows. Interestingly, these disparities were more evident in the extraction processes rather than within the database itself.
What's my experience with pricing, setup cost, and licensing?
The cost is substantial, totaling around $1.2 million, solely dedicated to upgrading the hardware. This amount doesn't even cover the software upgrade for the database itself, which comes at an additional cost ranging from two to three thousand dollars. Specifically, for the hardware upgrade, we're dealing with a significant investment, around $1.5 million, involving approximately sixty servers with a combined storage capacity of around twenty-two terabytes. These expenses constitute a substantial financial commitment, especially when factoring in standard costs.
What other advice do I have?
I actively endorse the use of Teradata, particularly for data warehouse solutions, due to its robust handling of raw data and overall stability. The emphasis on retaining raw data is its key strength. However, it's crucial to acknowledge the cost associated with it. To address this, consider forming teams to strategize and mitigate expenses, ensuring a more cost-effective implementation that aligns with your organization's objectives. Overall, I would rate it nine out of ten.
Which deployment model are you using for this solution?
On-premises
Its analytics capabilities enhance our understanding of enterprise data for strategic planning and optimization
What is our primary use case?
We use Teradata for our organization's data warehouse, where we store data from all enterprise sources. With Teradata's efficient processing, we generate business intelligence reports and support analytics initiatives. Our teams connect to Teradata for valuable insights, enabling data-driven decision-making across departments. The platform's analytics capabilities enhance our understanding of enterprise data for strategic planning and optimization.
What is most valuable?
The most valuable feature is parallel processing architecture. Teradata's capabilities enhance data management efficiency, support scalability, and contribute to faster query performance, enabling us to derive valuable insights and analytics.
What needs improvement?
In our experience with Teradata, we haven't seen any significant weaknesses. However, when it comes to scalability, limited interest and success in some areas make us hesitate about upgrading. In the future, I would like to see Teradata incorporate features that allow it to handle unstructured data. Additionally, improvements in documentation to make it more user-friendly and up-to-date would enhance the overall user experience.
For how long have I used the solution?
I have been working with Teradata for almost six years.
What do I think about the stability of the solution?
It is quite stable.
What do I think about the scalability of the solution?
It is fairly scalable. In our company, we currently have around 30 to 40 developers working on advanced data development using Teradata.
How are customer service and support?
I would rate the support as an eight out of ten. They are quick to respond to our questions and have been helpful not just with problem-solving but also during patch deployments on the provider.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
Before Teradata, I primarily worked with databases like Oracle and Db2, mainly in banking. Teradata's advantage lies in its parallel processing, which sets it apart from competitors like Oracle and Db2. The efficiency in handling large-scale data and analytics makes it a preferred choice in my experience.
What other advice do I have?
My advice for those considering Teradata is that if you are looking for an optimized database, it is worth considering. In my experience, it has been better than Oracle and DB2 in handling large-scale data and analytics efficiently. Overall, I would rate Teradata as an eight out of ten.
Robust and reliable data warehousing and analytics, but it comes with a higher cost and significant complexity
What is our primary use case?
We use it as a staging database in our organization, serving as a repository for financial models.
What needs improvement?
The current operational approach needs improvement. In the past, relying on infrastructure data staging provided flexibility in collaborating with any database provider. However, transitioning to Informatica and integrating it with various data services proved beneficial for serving multiple clients. Despite its advantages, this approach incurred substantial costs in terms of hardware and technical expertise. To address this, there is a need to develop and offer free content and workshops, providing guidelines and technical knowledge for efficient data operation.
For how long have I used the solution?
I have been working with it for seven years.
What do I think about the stability of the solution?
I would rate its stability capabilities eight out of ten.
What do I think about the scalability of the solution?
I would rate its scalability abilities six out of ten. While it provides scalability, it is notably complicated.
Which solution did I use previously and why did I switch?
We previously used IBM, but due to the market requirements, we switched to Teradata.
How was the initial setup?
The initial setup was straightforward.
What about the implementation team?
It takes a couple of hours to be completely deployed.
What's my experience with pricing, setup cost, and licensing?
It comes at a notably high cost for what it offers. Apart from the standard licensing fees, there are supplementary costs associated with the licensing course. I would rate it one out of ten.
What other advice do I have?
Overall, I would rate it eight out of ten.
Which deployment model are you using for this solution?
On-premises
Robust data warehousing capabilities that offer high stability, with notable challenges with scalability costs and hardware dependencies
What is our primary use case?
We use it primarily as a dedicated platform for aggregating structured data, essentially serving as our structured data repository or data warehouse.
What is most valuable?
Their extensive experience in data warehousing, the platform's performance, and their strong reputation in the market are the most valuable.
What needs improvement?
One issue we've identified is that its performance varies across different on-premises setups and doesn't consistently meet our standards. This limitation necessitates the purchase of Teradata's proprietary hardware to ensure the desired level of performance. The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial.
For how long have I used the solution?
I have been using it for four years.
What do I think about the stability of the solution?
The stability is excellent, and I would rate it nine out of ten.
What do I think about the scalability of the solution?
The challenge lies in the necessity to purchase additional hardware for scaling, so I would lean towards a rating of around four out of ten for the overall experience.
How are customer service and support?
The technical support is satisfactory; I would rate it seven out of ten.
How would you rate customer service and support?
Neutral
How was the initial setup?
I would rate the initial setup six out of ten when it comes to complexity.
What was our ROI?
I would rate the return on investment eight out of ten.
What's my experience with pricing, setup cost, and licensing?
The cost is significantly high. I would rate it eight out of ten.
What other advice do I have?
Overall, I would rate it seven out of ten.
Which deployment model are you using for this solution?
On-premises
An industry-leading data warehousing solution that has MPP architecture
What is most valuable?
Teradata is a great, industry-leading data warehousing product that has MPP architecture. In recent times, there have been many other products available in the cloud space. It has a lot of other features like linear scalability and unconditional parallelism.
What needs improvement?
Teradata hardly supports unstructured data or semi-structured data. Teradata is very costly, and it's not easy to upgrade or expand the components in Teradata. A lot of infrastructure needs to be set up in order to use Teradata.
For how long have I used the solution?
I have been using Teradata for more than 15 years.
What's my experience with pricing, setup cost, and licensing?
Teradata is a very expensive solution.
Which other solutions did I evaluate?
Many other products equivalent to Teradata are available in the market, like BigQuery, Redshift, and Snowflake.
What other advice do I have?
Teradata is a suitable solution for small customers.
Overall, I rate Teradata an eight out of ten.
Leas Data Engineer
What do you like best about the product?
Parallel Processing, rich features and scalability
What do you dislike about the product?
Limit on the number of nodes in the Cloud.
What problems is the product solving and how is that benefiting you?
Business Insights & Analytics
Very interesting exchange with teradata team and other clients
What do you like best about the product?
the possibilities that's offered and the commitment of teradata team to fournish the best service
What do you dislike about the product?
the cost can be an issue or a blocker for some needs
What problems is the product solving and how is that benefiting you?
modernization of a finanvial platform
Fast and easy
What do you like best about the product?
Very scalable, interoperable, fast and easy to use
What do you dislike about the product?
cost can we better connected with the support to utlize and generate value
What problems is the product solving and how is that benefiting you?
its helping us combine and analyse data in very effective manner
Re
What do you like best about the product?
Really fast with hugh volume for business purpose
What do you dislike about the product?
lack of official road map on softwares such as VCX
support is too high level always asking logs and following a written script, a direct contact with dev tea; would be appreciated
support is too high level always asking logs and following a written script, a direct contact with dev tea; would be appreciated
What problems is the product solving and how is that benefiting you?
dataware housing and a lot of business dashboards
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