Informatica PowerCenter was data integration technology designed to form the foundation for data integration initiatives, application migration, or analytics. It is a legacy product.
N/A
Microsoft Power BI
Score 8.5 out of 10
N/A
Microsoft Power BI is a visualization and data discovery tool from Microsoft. It allows users to convert data into visuals and graphics, visually explore and analyze data, collaborate on interactive dashboards and reports, and scale across their organization with built-in governance and security.
$10
per month per user
Pricing
Informatica PowerCenter (legacy)
Microsoft Power BI
Editions & Modules
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No answers on this topic
Offerings
Pricing Offerings
Informatica PowerCenter (legacy)
Microsoft Power BI
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Informatica PowerCenter (legacy)
Microsoft Power BI
Features
Informatica PowerCenter (legacy)
Microsoft Power BI
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Informatica PowerCenter (legacy)
8.5
18 Ratings
3% above category average
Microsoft Power BI
-
Ratings
Connect to traditional data sources
9.018 Ratings
00 Ratings
Connecto to Big Data and NoSQL
8.014 Ratings
00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Informatica PowerCenter (legacy)
7.5
18 Ratings
7% below category average
Microsoft Power BI
-
Ratings
Simple transformations
8.018 Ratings
00 Ratings
Complex transformations
7.018 Ratings
00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Informatica PowerCenter (legacy)
8.2
18 Ratings
5% above category average
Microsoft Power BI
-
Ratings
Data model creation
9.015 Ratings
00 Ratings
Metadata management
8.016 Ratings
00 Ratings
Business rules and workflow
9.018 Ratings
00 Ratings
Collaboration
6.116 Ratings
00 Ratings
Testing and debugging
9.017 Ratings
00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Informatica PowerCenter (legacy)
9.0
15 Ratings
12% above category average
Microsoft Power BI
-
Ratings
Integration with data quality tools
9.015 Ratings
00 Ratings
Integration with MDM tools
9.013 Ratings
00 Ratings
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Informatica PowerCenter (legacy)
-
Ratings
Microsoft Power BI
8.3
196 Ratings
2% above category average
Pixel Perfect reports
00 Ratings
8.3167 Ratings
Customizable dashboards
00 Ratings
8.7195 Ratings
Report Formatting Templates
00 Ratings
8.0178 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Informatica PowerCenter (legacy)
-
Ratings
Microsoft Power BI
8.0
194 Ratings
0% below category average
Drill-down analysis
00 Ratings
8.3191 Ratings
Formatting capabilities
00 Ratings
7.8191 Ratings
Integration with R or other statistical packages
00 Ratings
7.4143 Ratings
Report sharing and collaboration
00 Ratings
8.4189 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Informatica PowerCenter (legacy)
-
Ratings
Microsoft Power BI
8.0
187 Ratings
2% below category average
Publish to Web
00 Ratings
8.2177 Ratings
Publish to PDF
00 Ratings
8.1172 Ratings
Report Versioning
00 Ratings
7.7144 Ratings
Report Delivery Scheduling
00 Ratings
8.2147 Ratings
Delivery to Remote Servers
00 Ratings
7.9110 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
1.- Scenaries with poor sources of data is not recomended (Very bad ROI). The solution is for medium-big enterprises with a lot of sources of data and users. 2.- Bank and finance enviroment to integrate differente data form trading, Regulatory reports, decisions makers, fraud and financial crimes because in this kind of scenary the quality of data is the base of the business. 3.- Departments of development and test of applications in enterprises because you can design enviroments, out of the production systems, to development and test the new API's or updateds made.
Has significantly improved collation of data and visualisation especially with business across Europe. Has given me the ability to see the Site availability at the click of a button to see which Site is in the "money" and seize opportunities based on Market data
Informatica Powercenter is an innovative software that works with ETL-type data integration. Connectivity to almost all the database systems.
Great documentation and customer support.
It has a various solution to address data quality issues. data masking, data virtualization. It has various supporting tools or MDM, IDQ, Analyst, BigData which can be used to analyze data and correct it.
Options for data source connections are immense. Not just which sources, but your options for *how* the data is brought in.
Constant updates (this is both good and bad at times).
User friendliness. I can get the data connections set up and draft some quick visuals, then release to the target audience and let them expand on it how they want to.
There are too many ways to perform the same or similar functions which in turn makes it challenging to trace what a workflow is doing and at which point (ex. sessions can be designed as static or re-usable and the override can occur at the session or workflow, or both which can be counter productive and confusing when troubleshooting).
The power in structured design is a double edged sword. Simple tasks for a POC can become cumbersome. Ex. if you want to move some data to test a process, you first have to create your sources by importing them which means an ODBC connection or similar will need to be configured, you in turn have to develop your targets and all of the essential building blocks before being able to begin actual development. While I am on sources and targets, I think of a table definition as just that and find it counter intuitive to have to design a table as both a source and target and manage them as different objects. It would be more intuitive to have a table definition and its source/target properties defined by where you drag and drop it in the mapping.
There are no checkpoints or data viewer type functions without designing an entire mapping and workflow. If you would like to simply run a job up to a point and check the throughput, an entire mapping needs to be completed and you would workaround this by creating a flat file target.
Microsoft Power BI is an excellent and scalable tool. It has a learning curve, but once you get past that, the sky is the limit and you can build from the most simple to the most complex dashboards. I have built everything from simple reports with only a few data points to complex reports with many pages and advanced filtering.
Positives; - Multi User Development Environment - Speed of transformation - Seamless integration between other Informatica products. Negatives; - There should be less windows to maintain developers' focus while using. You probably need 2 big monitors when you start development with Informatica Power Center. - Oracle Analytical functions should be natively used. - E-LT support as well as ETL support.
Automating reporting has reduced manual data processing by 50-70%, freeing up analysts for higher-value tasks. A finance team that previously spent 20+ hours per week on Excel-based reports now does it in minutes with Microsoft Power BI's automated Real-time dashboards have shortened decision cycles by 30-40%, enabling leadership to react quickly to sales trends, operational bottlenecks, and customer behavior.
PowerCenter is robust and fast, and it does a great job meeting all the needs, not just the most commercially vocal needs. In the hands of an expert power user, you can accomplish almost anything with your data. It is not for new users or intermittent users-- for that the Cloud version is a better fit. Be prepared for costly connectors (priced differently for each source or destination you are working with), and just be planful of your projects so you are not paying for connectors you no longer need or want
Informatica power center is a leader of the pack of ETL tools and has some great abilities that make it stand out from other ETL tools. It has been a great partner to its clients over a long time so it's definitely dependable. With all the great things about Informatica, it has a bit of tech burden that should be addressed to make it more nimble, reduce the learning curve for new developers, provide better connectivity with visualization tools.
It is a fantastic tool, you can do almost everything related with data and reports, it is a perfect substitutive of Power Point and Excel with a high evolution and flexibility, and also it is very friendly and easy to share. I think all companies should have Power BI (or other BI tool) in their software package and if they are in the MS Suite, for sure Power BI should be the one due to all the benefits of the MS ecosystem.
While Talend offers a much more comfortable interface to work with, Informatica's forte is performance. And on that front, Informatica Enterprise Data Integration certainly leaves Talend in the dust. For a more back-end-centric use case, Informatica is certainly the ETL tool of choice. On the other hand, if business users would be using the tool, then Talend would be the preferred tool.
Microsoft Power BI is free. If I didn't want to create a custom platform (i.e. my organization insisted on an existing platform that I *had* to use), I'd use Microsoft Power BI. For any start-up or SMB, I'd just use Claude & Grok to build it quickly, also for free. Would not pay for Tableau or Sigma anymore. Not worth it at all.
The data pipeline automation capability of Informatica means that few resources are needed to pre-process the data that ultimately resides in a Data Warehouse. Once a workflow is implemented, manual intervention is not needed.
PowerCenter did require more resources and time for installation and configuration than was expected/planned for.
The lack of or minimal support of unstructured data means that newer sources of dynamic/changing data cannot be easily processed/transformed through PowerCenter workflows.