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Databricks 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:
 

ROI

Sentiment score
6.6
Databricks enabled significant cost reductions and efficiency improvements, leading to high user satisfaction and impressive ROI compared to other platforms.
Sentiment score
6.5
Informatica Cloud enhances data management ROI through analytics and efficiency, but benefits vary with adoption and tool preference.
This reduction in both time and money resulted in real-time impact and significant cost savings.
Consultant at Nice Software Solutions
For a lot of different tasks, including machine learning, it is a nice solution.
Senior Data Engineer at a logistics company with 51-200 employees
When it comes to big data processing, I prefer Databricks over other solutions.
Head CEO at bizmetric
Leadership prefers to utilize third-party tools, such as Snowflake, which has both storage and ELT features.
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
The stability and performance remain issues.
consultant at a energy/utilities company with 5,001-10,000 employees
Compared to Collibra Catalog, where the value is noticeable within six months.
Data and Analytics Manager at a insurance company with 10,001+ employees
 

Customer Service

Sentiment score
7.0
Databricks support is generally responsive and proactive, though issues like language barriers and indirect support occasionally occur.
Sentiment score
6.8
Informatica IDMC offers strong customer service, with variability in response times and support quality based on issue priority.
Whenever we reach out, they respond promptly.
Senior Data Engineer at a logistics company with 51-200 employees
As of now, we are raising issues and they are providing solutions without any problems.
Data Platform Architect at KELLANOVA
I would give Databricks customer support a rating of ten.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
Consulting Principal & Founder at Digital Data Consultancy
Even after going out of service support, they still reached back to me whenever I raised tickets.
IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees
We expect more responsive assistance because they have the expertise since Informatica is their tool, but I don't see enough expertise on the Informatica support side.
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
 

Scalability Issues

Sentiment score
7.4
Databricks is praised for easy scalability and handling large data volumes, despite some cost and technical setup concerns.
Sentiment score
7.3
Informatica IDMC is highly scalable and adaptable, catering to enterprise-level tasks with flexible cloud-based architecture.
The sky's the limit with Databricks.
Governance And Engagement Lead
The patches have sometimes caused issues leading to our jobs being paused for about six hours.
Senior Data Engineer at a logistics company with 51-200 employees
Databricks is an easily scalable platform.
Data Platform Architect at KELLANOVA
I have used the product over multiple systems and was able to write reports for large data sets without any performance issues.
IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
Consulting Principal & Founder at Digital Data Consultancy
There are many options available, and the licensing model is quite good, supporting our needs effectively.
Data Integration Architect at Endeavour Foundation
 

Stability Issues

Sentiment score
7.7
Databricks is stable and reliable, successfully handling large data volumes, with minor issues mostly self-resolving.
Sentiment score
7.6
Informatica Intelligent Data Management Cloud is generally stable, with minor issues, praised for scalability and reliability, rated highly.
They release patches that sometimes break our code.
Senior Data Engineer at a logistics company with 51-200 employees
Although it is too early to definitively state the platform's stability, we have not encountered any issues so far.
Data Platform Architect at KELLANOVA
Databricks is definitely a very stable product and reliable.
Data Engineer at a tech vendor with 1,001-5,000 employees
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
Consulting Principal & Founder at Digital Data Consultancy
There are substantial stability issues with Informatica Cloud Data Quality on the cloud.
consultant at a energy/utilities company with 5,001-10,000 employees
I find the stability to be good, with occasional restarts required every two to three months due to glitches.
IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees
 

Room For Improvement

Databricks requires improved visualization, integration, interface, documentation, pricing, connector capabilities, community resources, support, and automated features.
IDMC faces integration, pricing, customization, and usability challenges, needing improvements in performance, support, AI, and functionalities.
Adjusting features like worker nodes and node utilization during cluster creation could mitigate these failures.
Data Engineer at a engineering company with 1,001-5,000 employees
We prefer using a small to mid-sized cluster for many jobs to keep costs low, but this sometimes doesn't support our operations properly.
Senior Data Engineer at a logistics company with 51-200 employees
We use MLflow for managing MLOps, however, further improvement would be beneficial, especially for large language models and related tools.
Solution Architect at Mercedes-Benz AG
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.
Contractor at Sanlam
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
Consulting Principal & Founder at Digital Data Consultancy
The current solution requires code-writing and tweaking, while other solutions offer material-level matches.
IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees
 

Setup Cost

Databricks provides a flexible, cost-effective cloud solution integrating with Azure and AWS, though premium features can raise costs.
Informatica IDMC is a costly, feature-rich solution for large enterprises, with pricing concerns partly mitigated by negotiable discounts.
It is not a cheap solution.
Data Platform Architect at KELLANOVA
I believe that in terms of credits for Databricks, we're spending between £15,000 and £20,000 a month.
Governance And Engagement Lead
My experience with pricing, implementation costs, and licensing is that it is very efficient and very fast.
It ranges from a quarter million to a couple of million a year.
Consulting Principal & Founder at Digital Data Consultancy
Informatica Intelligent Cloud Services is affordable for my specific use cases, with the pricing being rated three or four on a scale where one is very cheap.
Data Integration Architect at Endeavour Foundation
Regarding pricing, compared to other tools I have worked with, Informatica offers competitive pricing, which I find not high in terms of starting strategy.
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
 

Valuable Features

Databricks excels in user-friendly, scalable data management, supporting diverse languages, with strong analytics and governance features in the cloud.
Informatica IDMC is praised for seamless data integration, quality management, flexibility, and robust AI-driven data features.
Databricks' capability to process data in parallel enhances data processing speed.
Data Engineer at a engineering company with 1,001-5,000 employees
The platform allows us to leverage cloud advantages effectively, enhancing our AI and ML projects.
Data Platform Architect at KELLANOVA
The Unity Catalog is for data governance, and the Delta Lake is to build the lakehouse.
Data Engineer at CRAFT Tech
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
Consulting Principal & Founder at Digital Data Consultancy
The connectors serve as the main functionality, making data integration processes more efficient by saving time and effort.
Data Integration Architect at Endeavour Foundation
We could run data quality rules as part of Service Bus, which ensured the integrity of customer information before it was entered into our database.
Data and Analytics Manager at a insurance company with 10,001+ employees
 

Categories and Ranking

Databricks
Ranking in Data Management Platforms (DMP)
5th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
94
Ranking in other categories
Cloud Data Warehouse (4th), Data Science Platforms (1st), Streaming Analytics (1st)
Informatica Intelligent Dat...
Ranking in Data Management Platforms (DMP)
2nd
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) (7th), Business-to-Business Middleware (2nd), API Management (5th), Cloud Data Integration (2nd), Data Governance (3rd), Test Data Management (2nd), Cloud Master Data Management (MDM) (1st), 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 (2nd), AI Data Analysis (1st)
 

Mindshare comparison

As of June 2026, in the Data Management Platforms (DMP) category, the mindshare of Databricks is 6.8%. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 10.1%, down from 18.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Management Platforms (DMP) Mindshare Distribution
ProductMindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)10.1%
Databricks6.8%
Other83.1%
Data Management Platforms (DMP)
 

Featured Reviews

SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Improved data governance has enabled sensitive data tracking but cost management still needs work
I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
10%
Computer Software Company
7%
Healthcare Company
5%
Financial Services Firm
13%
Manufacturing Company
11%
Construction Company
7%
Computer Software Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise12
Large Enterprise57
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise155
 

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...
Which would you choose - Databricks or Azure Stream Analytics?
Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...
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

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
The Travel Company, Carbonite
Find out what your peers are saying about Databricks vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: June 2026.
900,277 professionals have used our research since 2012.