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Informatica Intelligent Data Management Cloud (IDMC) vs SwaggerHub comparison

Why PeerSpot?
 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 15, 2026

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

Informatica Intelligent Dat...
Ranking in API Management
9th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
215
Ranking in other categories
Data Integration (1st), Data Quality (1st), Business Process Management (BPM) (5th), Business-to-Business Middleware (1st), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (2nd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (5th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
SwaggerHub
Ranking in API Management
14th
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
15
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the API Management category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 1.6%, up from 0.6% compared to the previous year. The mindshare of SwaggerHub is 1.9%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
API Management Mindshare Distribution
ProductMindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)1.6%
SwaggerHub1.9%
Other96.5%
API Management
 

Featured Reviews

RC
Contractor at Sanlam
Cloud data catalog has streamlined lineage and quality while leaving more automation to improve
I have not explored IDMC's automation capabilities driven by AI and metadata too much at the moment, but it is on the cards. We are basically creating the foundation, as the whole migration has taken place recently and it is still early days. I think Informatica Intelligent Data Management Cloud (IDMC) is evolving, and as the vendors move forward, they pick up new concepts from each other. I have seen that products leapfrog each other, and from my experience over the years, the big players tend to copy features or add enhancements based on industry trends. I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team. It is difficult to say what additional features I would prefer to see in the next release of IDMC. I would appreciate more automation on the lineage front, with more AI to seamlessly join independent sources and create seamless lineage between different technologies, such as from file into database A into a different database and landing up in a reporting system such as Cognos, Qlik, Qlik Sense, QlikView, or Power BI.
Manish Indupuri - PeerSpot reviewer
senior DevOps engineer at a tech services company with 10,001+ employees
Has streamlined API documentation and integration workflows across cross-functional teams
Documenting SwaggerHub has a standard and consistent structure of API definitions, and it automatically generates interactive documentation which helps the developers to understand everything. There are certain areas where SwaggerHub can go beyond here as formatting options for documentation pages are restricted, and the import and export options of API collections are complex in SwaggerHub. It provides various collaboration tools where we can work and do it. The strong validation against the API maintains conformity and reduces errors. That part is very great in SwaggerHub. Overall, scalability and stability-wise, it varies high compared to the competitors, but there are still certain areas where competitors are providing various customizations. SwaggerHub can understand those aspects and implement them as well. The complex import and export of API calls and collaborations can be challenging in SwaggerHub. If they can make it easier for us, that would be great. Their performance is degraded if there is too much load on the API. The customization and doc formatting options for documentation pages are restricted in SwaggerHub. A few of my teammates have complained that they find the UI unintuitive where it requires multiple clicks for simple tasks. SwaggerHub is a great tool, but these limitations can be addressed to make things better and easier.

Quotes from Members

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

Pros

"Single and consistent view of Customer Data arising from a centralized data set with unique customer records."
"The product is stable."
"What I like best about Informatica MDM is its structured, table-based approach. Unlike Reltio, where data is only visible through the UI and cloud-based, the solution allows access to normalized tables. This means I can directly query and see data in each table. For instance, I can easily get all customer details from the customer table. However, for more complex queries, like seeing all customer interactions with the organization, some SQL knowledge is needed to join different tables and retrieve the details."
"The product is the best in the industry (as it is multidomain) and the vendor support is excellent."
"New tools are coming out that will enable you to achieve 90 percent of use cases with the out-of-the-box configuration, but I would like to keep Informatica tight here. Otherwise, you need a Java user edit course and other things to do multiple things that you cannot configure out of the box. They have to go through those use cases to do something if those can also be configured rather than coded."
"The most valuable feature of Informatica Cloud Data Integration is Pushback. You are able to push the data to the solution itself, and it can handle the queries. It helps us a lot. With other tools, the burden is kept on the server."
"Product-wise, compared to other on-premise tools, Informatica Cloud Data Integration can be deployed on-premises and cloud."
"Informatica Cloud Data Integration is good overall."
"The tool's most valuable feature is licensing."
"The scalability is endless."
"Normally, they publish their APIs on SwaggerHub for seamless integration with SmartBear and ReadyAPI, which allows us to perform detailed end-to-end automation testing."
"The most valuable features are the collaboration between multiple teams and the control and distribution of specifications."
"SwaggerHub is helping with team collaboration, as all the people now know the link, they just go there and get the information they need, and it is really a documentation tool for sharing documentation information about the API we support."
"It is quite a useful tool. It is quite good with the validation of the spec. It works quite well in terms of errors and conformity to the OpenAPI standard. It is better than Visual Studio Code in terms of editing."
"The product's initial setup phase was easy and not at all difficult."
"I rate the solution's stability a ten out of ten."
 

Cons

"I would like to have the solution in one product and technical support needs to be better."
"The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."
"Informatica should simplify the rules for setting classifications and user access management permissions. It's too complex to define, configure, and make work."
"Informatica MDM could improve the interdependency with integration."
"There were a few stability issues, but overall it is a stable product."
"The tool should provide a unified user interface to manage the data objects."
"Informatica Axon does not provide complete transparency about the level of detailing you need and the logic used in ETL."
"The solution is not as stable as we'd like. We need to do a lot of work on the operational side because it crashes frequently, at least once a week."
"In SwaggerHub, I appreciate that it is a powerful platform for API design and collaboration, but currently, the access control is somewhat limited."
"It could be more intuitive compared to one of its competitors."
"The review process should be improved. There seem to be some gaps, at least for us, for the editing part because we would like to have a full request review mechanism. They support some comments, but it is really hard to manage those comments. We would like to use the full request. Therefore, we are now looking to integrate with repositories. It has integration with Bitbucket and GitHub, but we have some internal constraints, and we need to move some of the repositories to GitHub. Our source code is on-premise in Bitbucket, and it was a bit of a problem for us to integrate. Now we are transitioning our repositories to GitHub, and hopefully, we can enable the integration. This will probably solve the problem with the review and approval. Its customization should also be improved. There are limitations around the support for the developer portal. There should be more customization options for the website that you can use as a developer portal. Currently, it has only Swagger UI with minimal customization. You cannot actually add additional pages and documentation for explaining concepts and general things. That's why we have started to look around to see what other tools are doing. They should also allow tagging on the API. We would like to add some tagging on the API to reflect certain things. Currently, any metadata that you would like to have has to be a part of the spec. You cannot do anything else. It should also have support for Open API 3.1, which was released at the beginning of the year. It would be great to be able to switch to that."
"More integration and usability with the cloud microservices would be nice."
"SwaggerHub's UI needs to be improved as it looks very old school."
"It has limited functionality...Unfortunately, some of its features are not what we need."
"SwaggerHub could be improved with better integration for tools."
"SwaggerHub can be improved since the API testing features are limited compared to Postman, and it is somewhat expensive for small teams as paid plans cost a lot."
 

Pricing and Cost Advice

"The licenses attached to the solution are highly priced."
"In terms of the licensing for Informatica Intelligent Cloud Services, we had the option of paying based on the number of users and paying based on the volume of data, and we went with the data volume licensing option. Informatica Intelligent Cloud Services isn't as expensive as CIG. The pricing for it is okay, so I'm rating it a four out of five in terms of pricing. We did use the email verification and address validation services which weren't part of the contract, so we had to pay additional fees for those services."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"The price is comparable."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"We are quite happy with the licensing model."
"Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."
"The product is very expensive"
"It has a yearly subscription, but I am not sure."
"The tool is cheap."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
10%
Outsourcing Company
9%
Construction Company
9%
Financial Services Firm
12%
Manufacturing Company
11%
Outsourcing Company
11%
Healthcare Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise155
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise9
 

Questions from the Community

How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
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...
What are the biggest benefits of using Informatica Cloud Data Integration?
When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...
What needs improvement with SwaggerHub?
SwaggerHub can be improved since the API testing features are limited compared to Postman, and it is somewhat expensive for small teams as paid plans cost a lot.
What is your primary use case for SwaggerHub?
My main use case for SwaggerHub is to design and review API specifications, as I test endpoints with the help of Swagger UI, validate the request and the response schemas, and share the API documen...
What advice do you have for others considering SwaggerHub?
Before using SwaggerHub, I advise having basic API knowledge, as those with API knowledge can easily use SwaggerHub. I would rate this review an eight out of ten.
 

Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
No data available
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Sonic, Zuora, Woolworths, CrowdFlower
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. SwaggerHub and other solutions. Updated: September 2026.
917,433 professionals have used our research since 2012.