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Informatica PowerCenter vs dbt comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

Review summaries and opinions

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

Categories and Ranking

dbt
Ranking in Data Integration
36th
Average Rating
7.6
Reviews Sentiment
7.4
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Informatica PowerCenter
Ranking in Data Integration
4th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
82
Ranking in other categories
Data Visualization (9th)
 

Mindshare comparison

As of August 2025, in the Data Integration category, the mindshare of dbt is 2.1%, up from 0.1% compared to the previous year. The mindshare of Informatica PowerCenter is 8.1%, down from 11.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Ninad Magdum - PeerSpot reviewer
Developer-friendly and easy to use, but doesn't have many optimization options
We also use stored procedures and Talend. They are not replaced by dbt completely. We use dbt only for the transformation process. My recommendations would depend on an organization’s requirements and problems. I will recommend the tool to others. The product is developer-friendly. However, it is still dependent on the data warehouse for big data and optimization. It's just a SQL transformation tool. It doesn't have a lot of optimization options like Spark. It's a good tool for Snowflake. If it were only for Snowflake, I would have rated it an eight out of ten. However, there are other data platforms. Overall, I rate the tool a six and a half out of ten.
Deepak Shiv - PeerSpot reviewer
Provides multiple transformations in one toolset and helpful when extracting data from multiple sources
Error handling capability is quite good in Informatica PowerCenter because it provides a very detailed session log, which is really helpful to identify errors. In addition, there are KB articles published by Informatica that are really helpful. So, error handling and the KB articles provided by Informatica are very helpful. Even if you face any issues or errors, we can usually resolve them. If the error cannot be solved with Informatica PowerCenter, we can raise a case with Informatica, and their support team will help us address that issue. If it cannot be solved with that particular version, they will consider it and try to solve it with the next patch or hotfix. AI Initiatives: Our company also has organizational AI or machine learning initiatives. However, Informatica PowerCenter doesn't fit into AI-related things because it's an on-premise tool. It doesn't have a significant role in the field. It is just a small ETL on-premises tool. So basically, in the AI field, Informatica PowerCenter is not going to be that impactful. Informatica has launched IICS and IDMC (Informatica Data Management Cloud and Informatica Cloud), where their AI comes into the picture. But for Informatica PowerCenter, AI does not come into the picture at all.

Quotes from Members

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

Pros

"The product is developer-friendly."
"It reduces a lot of legacy coding."
"The functions in Informatica PowerCenter that I have found most valuable are the way it manages the volume of data, the push down optimization, and the performance aspects of it, mostly related to parallelism techniques."
"Informatica PowerCenter has good user feedback. The developers can easily make mappings in the solution."
"The support is valuable. There are also open-source ETL products, which work very well, but there is no support. When we face a production problem, being able to get support is valuable, and it brings efficiency. With an open-source solution, we can't engage anyone to resolve the problem as quickly as possible."
"Error handling capability is quite good in Informatica PowerCenter because it provides a very detailed session log, which is really helpful to identify errors."
"Among all the solutions I have used, I found Informatica PowerCenter to be much more stable in terms of application."
"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."
"It is very comprehensive in terms of connector and transformation capabilities from both a source and target perspective."
 

Cons

"The solution must add more Python-based implementations."
"The UI is a little outdated."
"The initial setup is not straightforward. You need expertise to do it."
"This product is going to decommission in the next couple of years."
"Its licensing can be improved. It should be features-wise and not bundle-wise. A bundle will definitely be costly. In addition, we might use one or two features. That's why the pricing model should be based on the features. The model should be flexible enough based on the features. Their support should also be more responsive to premium customers."
"When I deal with very large amounts of data, there have been performance issues."
"The UI is outdated and old-fashioned, at least in our current version. Also, we have experienced some stability issues with the Workflow Monitor application."
"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."
"What needs improvement in Informatica PowerCenter is the cloud experience because, nowadays, other companies, such as AWS, Azure, and Google, have more experience in the cloud. The pricing for Informatica PowerCenter on the cloud is also very expensive for customers, so some customers prefer open-source tools or lower-priced tools, such as Azure. From my point of view, Informatica must work on the pricing policy and review the policy on the cloud for Informatica PowerCenter or propose more tools with lower pricing. Clients want the automatic integration of Informatica PowerCenter with other tools. Currently, the integration process is manual, and you have to add other tools to facilitate the integration, especially with the DevOps methodology. You need scripts and tools for the integration, and you'll need to use other integration tools if you want automatic deployment for Informatica PowerCenter, so this is another area for improvement in the solution. What I'd like to see in the next release of the solution is for the integration with APIs to be simpler, because currently, the API integration feature of Informatica PowerCenter is very difficult. It's not intuitive. You have to facilitate API integration and the real-time streaming of messages in Kafka, for example, so that should be improved."
 

Pricing and Cost Advice

"The solution’s pricing is affordable."
"The pricing is a little expensive, but in the same range as IBM and other competitors."
"The price of this solution is high."
"Our client has purchased the license, and we are using it."
"I rate the solution's pricing a four out of ten. The price is very high, and it doesn't understand the market now."
"I rate the product's price a ten on a scale of one to ten, where one is a low price, and ten is a high price."
"A basic setup can be from $100,000 and up annually."
"The price could be better. It's very expensive. On a scale from one to five, I would give Informatica PowerCenter's price a one."
"It is for big enterprises. We have leveraged Informatica for big enterprises but not for small and medium enterprises because it is a very costly product as compared to other products. We propose this solution only for enterprise customers. For small to medium enterprises, we would propose the Microsoft solution. Its licensing is currently bundle-wise. It should be features-wise and not bundle-wise."
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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
14%
Insurance Company
12%
Computer Software Company
6%
Manufacturing Company
6%
Financial Services Firm
18%
Computer Software Company
11%
Manufacturing Company
8%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for dbt?
It is cheap because dbt is open source. If you compare the pay-per-service of Dbt with the open source option you can manage. We are managing the solution, when we were acquiring service from them....
What needs improvement with dbt?
SQL statements that beyond DML, are not possible. Currently, they are not possible in Dbt. Having more features in SQL statements will support us. Another issue is the terms of data ingestion becau...
What is your primary use case for dbt?
We use the solution to deal with data transformations inside different organizations.
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...
 

Also Known As

No data available
PowerCenter
 

Overview

 

Sample Customers

Information Not Available
University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
Find out what your peers are saying about Informatica PowerCenter vs. dbt and other solutions. Updated: July 2025.
864,053 professionals have used our research since 2012.