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Apiary vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

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

Apiary
Ranking in API Management
35th
Average Rating
8.2
Reviews Sentiment
7.3
Number of Reviews
4
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in API Management
5th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
214
Ranking in other categories
Data Integration (1st), Data Quality (1st), Business Process Management (BPM) (8th), Business-to-Business Middleware (2nd), Cloud Data Integration (2nd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (4th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (1st), AI Data Analysis (1st)
 

Mindshare comparison

As of May 2026, in the API Management category, the mindshare of Apiary is 0.8%, up from 0.3% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 1.3%, up from 0.4% 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)1.3%
Apiary0.8%
Other97.9%
API Management
 

Featured Reviews

PW
Enterprise Integration Architect at Capgemini
The ability to configure rules to check for consistency has helped
Apiary provides a free tier of the platform which allows a small group of developers to collaborate easily on the design of open source APIs. In addition to this, it provides mock endpoints allowing people to experiment with the API without depending or having to stand up a real backend. With our clients, using Apiary allows us to very quickly pull together an API definition (particularly when using API Blueprint). The whole API design process for the simpler use cases can be done in a relatively short workshop which makes it a lot easier to agree, publish, version-manage an API definition with suitable documentation. This can then be evolved and enhanced (particularly in the documentation aspects). With the ability to support Swagger (Open API v2 and introducing/ed support for v3) and API Blueprint makes it a very versatile tool.
Divya-Raj - PeerSpot reviewer
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
Handles large data volumes effectively and offers competitive pricing
There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.

Quotes from Members

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

Pros

"Quick and easy way to share a new API design with teams."
"Git integration"
"I find the generation of mock services very useful, especially when demonstrating for new consumers."
"I do like the overall performance of the solution."
"This solution has allowed us to standardize API definitions and bring consistency into our shared components, reducing the effort and cost of using functionality across domains within the organization, with Apiary being crucial to our good API strategy."
"Vey high - very easy API design with no setup effort"
"In two years, there was one time the service was down for an hour or so."
"The feature I find most valuable is that it offers authentication and allows us to develop communication points."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"Informatica MDM has data quality, mastering the data's capability."
"The solution allows the complete governance process, starting from the data quality, those definitions, and it can get the data quality in the EDC."
"The MDM solution is capable of integrating multiple systems, so it helped us to solve the purpose of centralizing the depository as well as the standardization of mass data."
"The data quality component is very good."
"It is a scalable product."
"It is one of the best tools available for data integration."
"It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten."
 

Cons

"The Oracle release cycle is very bad because the patches only update once a year."
"Swagger (OpenAPI Specification) and Blueprint Support"
"I don't think this solution is very stable so we try to manage stability from our side."
"Better Swagger support."
"Validation messages could be a bit clearer."
"I would like an integrated option to download a Swagger version of the definition."
"I would like an integrated option to download a Swagger version of the definition."
"I have received feedback from certain teams and there is a steep learning curve to use this solution."
"The tool is quite good overall, but sometimes the number of modules can be overwhelming. If the development interface could be optimized to have fewer modules, it would be greatly beneficial."
"The cloud version of Informatica, although easier and more advanced than PowerCenter, still requires a deep dive to fix bugs."
"Their data quality reporting, especially their dashboards and scorecards, is lackluster at best."
"Its cloud-based version has a few limitations compared to the on-premise version."
"I think they should work really hard on UI."
"The biggest challenge I see is the IDE's for the cloud and automization are different."
"There are also some technical issues sometimes with integrations because clients have a lot of different types of data sources."
 

Pricing and Cost Advice

"There is a free subscription option to start and try the service."
"It is easy to get started with personal (free) accounts, but a subscription is required for additional features."
"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."
"I have no idea what the price actually is. It is probably not going to be the cheapest, but it is a pretty stable and robust platform from the backend standpoint."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
"So, there are plans for licensing. There are subscription-based and usage-based licenses. Also, there are licenses for exceptional analytics, etc. In short, there are different models of licensing for every enterprise."
"Informatica Cloud Data Quality is a costly solution."
"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."
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Top Industries

By visitors reading reviews
Construction Company
18%
Financial Services Firm
18%
Comms Service Provider
9%
Media Company
7%
Financial Services Firm
13%
Manufacturing Company
10%
Retailer
7%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise154
 

Questions from the Community

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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 ...
 

Also Known As

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

Overview

 

Sample Customers

Microsoft, salesforce.com, Bloomberg, GoodData, Viacom, Akamai Technologies, DigitalGlobe
The Travel Company, Carbonite
Find out what your peers are saying about Apiary vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.