Informatica PowerCenter vs. Talend Data Fabric

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Informatica PowerCenter
Score 7.8 out of 10
N/A
Informatica PowerCenter is a metadata driven data integration technology designed to form the foundation for data integration initiatives, including analytics and data warehousing, application migration, or consolidation and data governance.N/A
Talend Data Fabric
Score 9.4 out of 10
N/A
The Talend Data Fabric helps organizations to achieve and maintain complete, trustworthy, and uncompromised data, so that they can stay in control, mitigate risk, and drive value.N/A
Pricing
Informatica PowerCenterTalend Data Fabric
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Informatica PowerCenterTalend Data Fabric
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Informatica PowerCenterTalend Data Fabric
Top Pros
Top Cons
Features
Informatica PowerCenterTalend Data Fabric
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Informatica PowerCenter
8.5
18 Ratings
3% above category average
Talend Data Fabric
-
Ratings
Connect to traditional data sources9.018 Ratings00 Ratings
Connecto to Big Data and NoSQL8.014 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Informatica PowerCenter
7.5
18 Ratings
11% below category average
Talend Data Fabric
-
Ratings
Simple transformations8.018 Ratings00 Ratings
Complex transformations7.018 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Informatica PowerCenter
8.2
18 Ratings
0% above category average
Talend Data Fabric
-
Ratings
Data model creation9.015 Ratings00 Ratings
Metadata management8.016 Ratings00 Ratings
Business rules and workflow9.018 Ratings00 Ratings
Collaboration6.116 Ratings00 Ratings
Testing and debugging9.017 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Informatica PowerCenter
9.0
15 Ratings
9% above category average
Talend Data Fabric
-
Ratings
Integration with data quality tools9.015 Ratings00 Ratings
Integration with MDM tools9.013 Ratings00 Ratings
Best Alternatives
Informatica PowerCenterTalend Data Fabric
Small Businesses
Skyvia
Skyvia
Score 9.6 out of 10

No answers on this topic

Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10

No answers on this topic

Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
Oracle Coherence
Oracle Coherence
Score 7.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Informatica PowerCenterTalend Data Fabric
Likelihood to Recommend
8.0
(21 ratings)
9.5
(7 ratings)
Likelihood to Renew
10.0
(4 ratings)
8.0
(1 ratings)
Usability
9.0
(3 ratings)
7.0
(1 ratings)
Performance
9.4
(2 ratings)
-
(0 ratings)
Support Rating
9.0
(2 ratings)
10.0
(1 ratings)
User Testimonials
Informatica PowerCenterTalend Data Fabric
Likelihood to Recommend
Informatica
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.
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Qlik
Truly trusted contact center where the effective solution is always guaranteed. It is not a one-off fix to a specific data integration or management problem. It is a permanent and scalable solution to manage all of your data under a unified environment. Easy to use, great performance, used it for our internal data warehouse. Easy to build and connect to our data sources such as Salesforce, Netsuite, and Marketo.
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Pros
Informatica
  • 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.
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Qlik
  • It supports a wide variety of connectors (Systems/endpoints)
  • It provides great flexibility for developers as it not only has a lot of predefined ready to use the function but also provides the ability to use complex java code within the platform. Great tool if you have good developers available.
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Cons
Informatica
  • 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.
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Qlik
  • The print and export functionality are missing in the Community version which frustrates a lot of our clients as well as internal users.
  • The learning curve is very steep for all Talend products including DQ.
  • Lack of easy to create workflows for jobs that can be repeated.
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Likelihood to Renew
Informatica
Our team enjoys using Informatica and feels that it is one of the best ETL tools on the market.
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Qlik
Lack of report export and publication! Steep learning curve!
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Usability
Informatica
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.
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Qlik
At this moment the usability of Talend Data Quality is optimal, too bad I cannot say the same in the first three months, it was always a problem due to its steep learning curve, but what matters is being able to use it effectively at this precise moment.
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Performance
Informatica
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
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Qlik
No answers on this topic
Support Rating
Informatica
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.
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Qlik
Talend Data Quality gave us direct help in the learning process and prevented us from taking many more months to adapt and I appreciate this from the heart, I think that thanks to the support we can have very detailed reports that help increase the use of Talend Data Quality in the company.
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Alternatives Considered
Informatica
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.
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Qlik
The engine with which it works to process a lot of information is striking, the comparison also being the connectors it has for different RDBMS, which other tools do not count as they are GNU licenses or community editions. The friendly and intuitive environment is what catches the eye. that's why I choose Talend over any other tool
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Return on Investment
Informatica
  • 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.
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Qlik
  • Definitely simplified the development efforts on our end in doing the data integration, saving lots of human hours.
  • Small company, so cost could be a problem for these services, but works so far.
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