IBM App Connect vs. Informatica PowerCenter

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM App Connect
Score 8.3 out of 10
N/A
IBM’s App Connect is a cloud-based data integration platform with data mapping and transformation capabilities within connectors between high-volume systems. App Connect also offers near-real time data synchronization and an API builder that is adaptable to the user’s coding skill level.N/A
Informatica PowerCenter
Score 7.7 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
Pricing
IBM App ConnectInformatica PowerCenter
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM App ConnectInformatica PowerCenter
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
IBM App ConnectInformatica PowerCenter
Top Pros
Top Cons
Features
IBM App ConnectInformatica PowerCenter
Cloud Data Integration
Comparison of Cloud Data Integration features of Product A and Product B
IBM App Connect
8.8
7 Ratings
7% above category average
Informatica PowerCenter
-
Ratings
Pre-built connectors9.07 Ratings00 Ratings
Connector modification8.16 Ratings00 Ratings
Support for real-time and batch integration9.07 Ratings00 Ratings
Data quality services9.07 Ratings00 Ratings
Data security features9.07 Ratings00 Ratings
Monitoring console8.87 Ratings00 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM App Connect
-
Ratings
Informatica PowerCenter
8.1
17 Ratings
2% below category average
Connect to traditional data sources00 Ratings8.117 Ratings
Connecto to Big Data and NoSQL00 Ratings8.013 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM App Connect
-
Ratings
Informatica PowerCenter
8.2
17 Ratings
2% below category average
Simple transformations00 Ratings8.217 Ratings
Complex transformations00 Ratings8.117 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM App Connect
-
Ratings
Informatica PowerCenter
8.0
17 Ratings
2% below category average
Data model creation00 Ratings8.014 Ratings
Metadata management00 Ratings8.015 Ratings
Business rules and workflow00 Ratings8.117 Ratings
Collaboration00 Ratings8.015 Ratings
Testing and debugging00 Ratings8.016 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
IBM App Connect
-
Ratings
Informatica PowerCenter
8.1
14 Ratings
1% below category average
Integration with data quality tools00 Ratings8.114 Ratings
Integration with MDM tools00 Ratings8.112 Ratings
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IBM App ConnectInformatica PowerCenter
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User Ratings
IBM App ConnectInformatica PowerCenter
Likelihood to Recommend
9.0
(8 ratings)
8.1
(20 ratings)
Likelihood to Renew
9.0
(1 ratings)
10.0
(4 ratings)
Usability
8.0
(1 ratings)
9.0
(3 ratings)
Performance
-
(0 ratings)
9.4
(2 ratings)
Support Rating
8.0
(2 ratings)
9.0
(2 ratings)
User Testimonials
IBM App ConnectInformatica PowerCenter
Likelihood to Recommend
IBM
- great when you need to integrate applications without any message lost or duplicated and when transnationality is important - if you need the highest throughput possible and not much (or not at all) mapping is required, a system like Kafka is more appropriate
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Informatica
Informatica Powercenter is the centerpiece of our overall enterprise data warehouse strategy. It's a critical enablement to ensure we can feed in multiple data stream and transform them into digestible data within our data warehouse. With its flexible capabilities and API availability, we were able to feed in industry standard data format as well as home grown data structure. Overall, we are very pleased with their capability and contribution to our data warehouse strategy.
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Pros
IBM
  • Just the ability to display and consume data through a single dashboard makes this a great application for our business purposes.
  • With the ability to consume their exposed API, data validation and manipulation becomes a breeze.
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Informatica
  • Informatica has a wide range of support for databases. Pretty much every mainstream DBMS is compatible here.
  • Designing ETL mappings and workflows is a very intuitive process, and takes minimal learning time and effort even for a beginner.
  • Informatica's biggest strength is its sheer performance. It is unmatched in terms of handling large volumes of data.
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Cons
IBM
  • The development and the transformation capability is not so great. I believe IBM is looking to incorporate some of features of IBM APP Connect into API Connect.
  • The authentications features are no way close to CA API Management (f.k.a Laye r7).
  • The development experience is not as good as Apigee's.
  • The GUI should be improved. Maybe the product team should see the other API management tools in their offering.
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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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Likelihood to Renew
IBM
It is the best on-premise application to cloud integration in the market. I guess IBM is planning to integrate IBM App Connect with the IBM API Connect solution.
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Informatica
Our team enjoys using Informatica and feels that it is one of the best ETL tools on the market.
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Usability
IBM
You can do some really powerful things with this system. The overall design is an attempt to make configurable some of the routine tasks/common functionality, but allow for development/customization of the core of the application.
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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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Performance
IBM
No answers on this topic
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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Support Rating
IBM
Support is good, however it takes longer than expected to get responses. When bugs are reported they often seem to fall into a black hole.
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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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Alternatives Considered
IBM
We did not select Cast Iron as our iPaaS solution, it was the weakest competitor in the field that we evaluated. Our experience was that it was not nearly as easy to learn, without in-depth training and guidance, and the developer UI was extremely buggy. We subjected each of the vendors to a battery of integrations, from simple to challenging, and it fell short on each one. One of the most simple integrations was grabbing a CSV file from an FTP source, parsing the data, doing a small amount of transformation, then inserting that data into an Azure MSSQL DB. After 2 hours on the phone with the Cast Iron support team, we were still unable to get this working.
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Informatica
PowerCenter is the industry leader when it comes to interfacing with multiple source and target systems. The graphical interface increases employee productivity while reducing human resource expenditures and training requirements. These other tools offer some similar capabilities, but lack the range and depth when compared with the PowerCenter platform.
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Return on Investment
IBM
  • I don't see any negative Impact .
  • I like using this tool to do my job.
  • I am comfortable using this tool.
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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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