Apigee Edge vs. Informatica PowerCenter

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apigee Edge
Score 8.2 out of 10
N/A
Apigee Edge is an API management platform now owned and offered by Google, since Google acquired Apigee in 2016.N/A
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
Pricing
Apigee EdgeInformatica PowerCenter
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apigee EdgeInformatica 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
Apigee EdgeInformatica PowerCenter
Top Pros
Top Cons
Features
Apigee EdgeInformatica PowerCenter
API Management
Comparison of API Management features of Product A and Product B
Apigee Edge
9.4
7 Ratings
14% above category average
Informatica PowerCenter
-
Ratings
API access control9.07 Ratings00 Ratings
Rate limits and usage policies9.07 Ratings00 Ratings
API usage data9.07 Ratings00 Ratings
API user onboarding9.97 Ratings00 Ratings
API versioning9.97 Ratings00 Ratings
Usage billing and payments9.06 Ratings00 Ratings
API monitoring and logging9.97 Ratings00 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Apigee Edge
-
Ratings
Informatica PowerCenter
8.5
18 Ratings
3% above category average
Connect to traditional data sources00 Ratings9.018 Ratings
Connecto to Big Data and NoSQL00 Ratings8.014 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Apigee Edge
-
Ratings
Informatica PowerCenter
7.5
18 Ratings
11% below category average
Simple transformations00 Ratings8.018 Ratings
Complex transformations00 Ratings7.018 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Apigee Edge
-
Ratings
Informatica PowerCenter
8.2
18 Ratings
0% above category average
Data model creation00 Ratings9.015 Ratings
Metadata management00 Ratings8.016 Ratings
Business rules and workflow00 Ratings9.018 Ratings
Collaboration00 Ratings6.116 Ratings
Testing and debugging00 Ratings9.017 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Apigee Edge
-
Ratings
Informatica PowerCenter
9.0
15 Ratings
9% above category average
Integration with data quality tools00 Ratings9.015 Ratings
Integration with MDM tools00 Ratings9.013 Ratings
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Apigee EdgeInformatica PowerCenter
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Score 9.0 out of 10
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Score 9.6 out of 10
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Score 9.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
Enterprises
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Score 9.0 out of 10
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User Ratings
Apigee EdgeInformatica PowerCenter
Likelihood to Recommend
9.0
(7 ratings)
8.0
(21 ratings)
Likelihood to Renew
9.0
(1 ratings)
10.0
(4 ratings)
Usability
9.0
(1 ratings)
9.0
(3 ratings)
Performance
-
(0 ratings)
9.4
(2 ratings)
Support Rating
6.0
(1 ratings)
9.0
(2 ratings)
User Testimonials
Apigee EdgeInformatica PowerCenter
Likelihood to Recommend
Google
Few scenarios 1. For viewing API analytics, I think it is best in the market 2. For earning money via API monetization 3. Securing API 4. Onboarding legacy APIs to provide modern REST endpoints
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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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Pros
Google
  • Better exception handling with the Raise exception policies help to monitor the flow by setting up the flow conditions.
  • Easy development of a Proxy and APIs with much less tutoring and helps make getting started for new users easy.
  • Very good documentation and blog with details of most common failures and error handling.
  • A very very easy to use console.
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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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Cons
Google
  • Only one user can be active in a proxy at a time
  • No version control
  • Prohibited from using JSON.stringify on Apigee objects (tokens)
  • Debugging is difficult
  • Unable to rename or delete policies without bumping revision
  • Why would anyone give a js policy one name, display name something else, and script a different name?
  • 'Trace' limited to only 20 transactions
  • UI allows users to add target servers, but users must utilize the api to turn on SSL.
  • I'm sure there's more, they just aren't coming to mind right now.
  • Apigee forgets (expires?) your password at random intervals without notice. Every few weeks, or days, sometimes even three times in one day, I'll attempt to login to Apigee and my password will be 'wrong'. I've reset my password and Apigee still claims it's wrong. I've had to reset my password three times before it finally let me log back in.
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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
Google
I am not the one deciding whether to use apigee or not really. But personally, I would recommend the use of it as developing APIs on it is easy. And as a mediator between backend servers, we could easily modify request and responses in it without touching any backend code while having a centralize gateway to access our backend APIs too.
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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
Google
Support has helped us to resolved all the queries and community support was also good.
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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
Google
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
Google
Quite hard to get support, at least on the coding side, when we encounter blockers. But general concerns, they would schedule a call to you for them to get a whole picture of your concern. Albeit in my experience, bad really as they haven't replied about the progress, but otherwise seems to have been fixed.
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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
Google
Apigee is the best in the market in terms of API Analytics Apigee is having wonderful Documentation with short videos Security is a major concern and Apigee provides an easily configurable policy to secure API Quota and rate-limit is again very easy to configure on every API basis It provides various policies to transform the response from one form to another form e.g. JSON to XML or XML to JSON
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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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Return on Investment
Google
  • As a public entity it is hard to say how much ROI we can have. We have yet to create a billing and ROI plan. We are thinking of other ways to create ROI, possibly through data/service barter.
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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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