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Informatica PowerCenter vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 6, 2024
 

Categories and Ranking

Informatica PowerCenter
Ranking in Data Integration
2nd
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
80
Ranking in other categories
Data Visualization (8th)
Teradata
Ranking in Data Integration
18th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
76
Ranking in other categories
Customer Experience Management (5th), Backup and Recovery (19th), Relational Databases Tools (7th), Data Warehouse (3rd), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)
 

Featured Reviews

Lars Borchers - PeerSpot reviewer
A stable and reliable product that provides a variety of features for data integration
The solution is not for newcomers. It has an old touch. The solution must improve the integration with new services. It was part of the program at Informatica when they moved to their cloud platform. It is integrated. However, from an on-premise perspective, we need to buy licenses for PowerExchange. If we want a native driver to access a special service, we need to extend our license to those services. It is expensive. I don't like that it's not all included in the solution.
SurjitChoudhury - PeerSpot reviewer
Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities
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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The most valuable feature of Informatica PowerCenter is the flow designer functionally. It is the best out of any ETL tool. Additionally, the solution is reliable and trustable in dealing with large data sources anytime. When we're using billions of data transactions, it's smooth."
"The partitioning and optimization to help enhance our development is a very valuable aspect of Informatica PowerCenter."
"I like the automated scheduling feature."
"The ability to scale through partitions helped us to improve the performance."
"Informatica PowerCenter is very good for integrating a huge amount of data in a very short duration, such as a minute. It is also very easy to use. After you provide the source and the target, mappings are automatically done, which makes it easy to use for the development team."
"The most valuable aspects of Informatica PowerCenter are the many features, ease of use, and user-friendliness."
"It has helped us monetize."
"We use Informatica PowerCenter to transfer the transitional database to and from the data warehouse. This is very efficient as it enables us to quickly find our data reports and the data, so we can build AI models."
"Teradata is a great, industry-leading data warehousing product that has MPP architecture."
"Teradata can be deployed on-premise, on the cloud, or in a virtual machine, which means customers can move without having to create their architecture all over again."
"Things have started moving faster in my company, such as data retrieval happens more quickly.​"
"The solution scales well on the cloud."
"Teradata's pretty fast."
"It's a pre-configured appliance that requires very little in terms of setting-up."
"It is quick, secure, and has less hassles because we don't have to involve our networking team, infrastructure, etc. It is very easy to deploy and make market ready."
"The initial setup was straightforward."
 

Cons

"This solution needs the functionality to do batch processing of data. It also lacks connectivity to NoSQL, unstructured data sources."
"The initial setup is not straightforward. You need expertise to do it."
"If we could have the option of performance improvement within Informatica, and if it could have more features, that would be ideal."
"I would like to see improvements made to the custom transformations. It should be more open for users that want to write their own code and use cases."
"In terms of performance improvement and tuning, there should be a bit more guidance and documentation."
"This product is going to decommission in the next couple of years."
"The documentation could be improved."
"The solution does not scale."
"The current operational approach needs improvement."
"Teradata could improve by being less complicated. There are some aspects that are not available on the Unix server and a Unix system is required to access some data, such as in case of an emergency."
"​I think the UI is not there yet. It could be improved by being more user-friendly.​"
"Teradata has a few AI models, but in data science, we need more flexibility."
"Apart from Control-M, it would be nice if it could integrate with other tools."
"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."
"​Their level of technical support is adequate. It could be better.​"
"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."
 

Pricing and Cost Advice

"Informatica PowerCenter is reasonably priced. It is less expensive than Pentaho. There is a standard version fee in Taiwan. It is a one-time yearly subscription price that is approximately $3,010 US dollars for three users."
"I rate the solution's pricing a four out of ten. The price is very high, and it doesn't understand the market now."
"The licensing fees are paid on a yearly basis."
"We have found the pricing very cost-effective. The licensing is CPU and data source-based."
"Its licensing is expensive in terms of scaling."
"Our customers pay a licensing fee yearly."
"The solution is in the middle price range compared to other solutions."
"Its maintenance is expensive."
"I am using the free version of Teradata."
"It comes at a notably high cost for what it offers."
"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."
"Teradata is a very expensive solution."
"The solution requires a license."
"Teradata is not cheap, but you get what you pay for."
"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."
"Make sure you have the in-house skills to design and support the solution, as relying on external sources is extremely costly and tends to lock you into specific platforms, tools, and paradigms."
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Comparison Review

it_user90069 - PeerSpot reviewer
Feb 20, 2014
Informatica PowerCenter vs. Microsoft SSIS - each technology has its advantages but also have similarities
Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations…
 

Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
12%
Manufacturing Company
7%
Insurance Company
7%
Financial Services Firm
26%
Computer Software Company
11%
Manufacturing Company
8%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How does Azure Data Factory compare with Informatica PowerCenter?
Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...
Which is better - SSIS or Informatica PowerCenter?
SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called SSIS. The collection helps organizations boost productivity with code-free compo...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
Comparing Teradata and Oracle Database, which product do you think is better and why?
I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite simi...
Which companies use Teradata and who is it most suitable for?
Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the comp...
Is Teradata a difficult solution to work with?
Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example,...
 

Also Known As

PowerCenter
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture
 

Overview

 

Sample Customers

University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
Netflix
Find out what your peers are saying about Informatica PowerCenter vs. Teradata and other solutions. Updated: November 2024.
824,067 professionals have used our research since 2012.