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Informatica Intelligent Data Management Cloud (IDMC) vs Workato comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

ROI

Sentiment score
7.1
Organizations benefit from improved data quality, time savings, and ROI with Informatica Cloud, enhancing processes and security.
Sentiment score
5.5
Organizations saw improved cash flow, productivity, and efficiency, with ROI over 40%, through rapid automation integration with Workato.
By replacing multiple legacy systems and teams with a single automated platform, organizations see significant cost savings and improved business operations.
For main recipes, there are charges, so by focusing on creating as many callable recipes as possible based on requirements, we can improve cost efficiency for the business.
In my experience, we have seen a return on investment, with results visible within a week.
 

Customer Service

Sentiment score
6.9
Informatica's customer service is effective, praised for responsiveness but criticized for occasional delays and inconsistency.
Sentiment score
6.7
Workato's responsive support is praised, though 24/7 availability and time zone alignment improvements are desired for complex issues.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
The response time is pretty good because we have someone in-house, who is an expert from Informatica, in our team who can help us with any sort of queries usually.
If they are unsure how to resolve an issue, they keep customers informed, providing updates about progress and ensuring communication with the product team to deliver accurate responses.
Whenever we faced issues with data volume, the support team helped us by suggesting solutions like breaking the data into chunks.
I reach out to the professional services team or customer success team for technical support, and they provide immediate responses.
Workato's support is robust, featuring first and second-level support.
 

Scalability Issues

Sentiment score
7.3
Informatica IDMC is highly scalable and adaptable, though optimal design and documentation are crucial for large-scale operations.
Sentiment score
6.3
Workato is scalable with cloud support but may face challenges with high data volumes and performance issues for some users.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
There are scalability limitations with Workato.
Allows dynamic connection switching at runtime.
Even when clients overutilize the product, Workato allows them to continue without interruption, charging accordingly rather than limiting usage.
 

Stability Issues

Sentiment score
7.7
Informatica Intelligent Data Management Cloud is generally stable, with newer versions being more reliable and support enhancing consistency.
Sentiment score
7.1
Workato is highly stable, reliable on AWS, with some minor issues in HTTP requests and large data handling.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
Once deployed, solutions do not break, making it more reliable than other solutions like Microsoft Power Automate that often disconnect.
During the initial data loads with large volumes, Workato was unable to handle the data effectively, which indicates stability issues under high loads.
To handle more than 50,000 records, I use scripting actions like Python or JavaScript to process large data in chunks.
 

Room For Improvement

IDMC requires UI improvements, better system connectivity, performance enhancements, cost reduction, AI features, and improved support and observability.
Workato requires improvements in collaboration, UI, scalability, and flexibility, with enhanced data handling, support, and advanced features.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
I also want to see integration with other Informatica products, such as IICS, to leverage the metadata from EDC.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
Workato struggles with scalability when handling high volumes of data, such as terabytes, requiring chunking for initial data loads.
One area for improvement is the CI/CD pipeline, which lacks a version control system similar to GitHub for easier deployment.
Currently, there's no way to set breakpoints to stop the process and debug an error as you can in other tools like webMethods.
 

Setup Cost

Informatica IDMC's pricing is seen as high, with nuanced licensing, leading to user concerns compared to competitors.
Workato's enterprise pricing includes a flat subscription, recipe-based model, with costs ranging from $120K-$130K annually, plus potential add-ons.
It ranges from a quarter million to a couple of million a year.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
I think the costs are reasonable for the kinds of features that Informatica Intelligent Data Management Cloud (IDMC) has.
Higher volume is less expensive, but in general, it is kind of pricey.
While the upfront cost is high due to task-based pricing, the cost is relatively low in terms of development because Workato provides necessary connectors for integration use cases.
Compared to other iPaaS solutions like Boomi, Workato’s pricing model charges per connection step, which increases the cost.
 

Valuable Features

Informatica IDMC is a robust cloud platform offering seamless data integration, real-time streaming, and comprehensive data management features.
Workato offers intuitive automation with low-code, drag-and-drop UI, enhancing efficiency and integration for seamless data management.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.
In on-premise, we call it EDC for metadata management, while in cloud-based technologies, it is known as the Metadata Command Center, which serves the same purpose as EDC concerning CDGC.
It allows app-to-app and real-time integrations, which significantly enhance process efficiency.
It comes with pre-built connectors, eliminating the need to write APIs.
The platform's ease of use for connecting to different integrations, like Salesforce and NetSuite, is very beneficial because development isn't necessary, and everything is readily available.
 

Categories and Ranking

Informatica Intelligent Dat...
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (10th), Business-to-Business Middleware (5th), API Management (7th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
Workato
Average Rating
8.4
Reviews Sentiment
6.5
Number of Reviews
22
Ranking in other categories
Integration Platform as a Service (iPaaS) (7th)
 

Mindshare comparison

While both are Application Integration solutions, they serve different purposes. Informatica Intelligent Data Management Cloud (IDMC) is designed for Data Management Platforms (DMP) and holds a mindshare of 15.0%, up 14.0% compared to last year.
Workato, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 4.8% mindshare, up 4.3% since last year.
Data Management Platforms (DMP)
Integration Platform as a Service (iPaaS)
 

Featured Reviews

Saikat Ghosh - PeerSpot reviewer
Match and merge functionality is still the best but cloud version needs more functionality
There are various areas for improvement in IDMC. Enhancements on basic data management functionality and the UI front, such as multiple templates and improved grid views, would be beneficial. Bulk data management features could be improved from the UI perspective to get to the level of the on prem versions of Informatica MDM. The tool needs to mature but missing small but important features, like restricted dynamic attributes functionality, data inheritance rules in master hierachies, identifiers not being passed in jobs is a drawback.
Rohit Sircar - PeerSpot reviewer
Great automation and strong workflows useful for integration
The initial setup is quite straightforward. When connecting Workato with your on-premises system, you have to install the Workato agent on your network. It was not complex but a long process to configure and settle. Workato has not gone live for us yet, so only the developers are currently using it. But in terms of users, we will have close to 250 and maybe 30 additional direct users. We are seeing a lot of different use cases where we can add new recipes because we started small, and there are many different areas where we can implement Workato for automation.
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
12%
Manufacturing Company
9%
Insurance Company
7%
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
10%
Retailer
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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 do you like most about Workato?
Workato is low code, intuitive, and easy to use.
What needs improvement with Workato?
I am currently in the exploratory phase. While the cloud-native aspect is beneficial, having deployment options similar to MuleSoft would be a great additional feature. Their approach aims to remov...
What is your primary use case for Workato?
I have been using Workato for the past two years now. Our current project was doing automation earlier with workflows using MuleSoft. These have now been moved to Workato for integrating systems fo...
 

Also Known As

ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
No data available
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Panera Bread, Berkshire Hathaway, Salesforce, Box, Splunk, ComScore, IBM, Complex Media, Microsoft, Home Depot, Cisco, News Corp, Braille Institute
Find out what your peers are saying about Palantir, Informatica, Oracle and others in Data Management Platforms (DMP). Updated: July 2025.
863,429 professionals have used our research since 2012.