Informatica Intelligent Data Management Cloud (IDMC) vs Talend Data Quality comparison

Informatica Intelligent Data Management Cloud (IDMC) vs. Talend Data Quality

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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 Data Quality

1st

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

185

Ranking in other categories

Data Integration (3rd), 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 (1st), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)

Talend Data Quality

Ranking in Data Quality

5th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Scrubbing Software (4th)

Mindshare comparison

As of October 2025, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 10.8%, down from 21.9% compared to the previous year. The mindshare of Talend Data Quality is 4.9%, down from 6.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Market Share Distribution
Product	Market Share (%)
Informatica Intelligent Data Management Cloud (IDMC)	10.8%
Talend Data Quality	4.9%
Other	84.3%

Data Quality

Featured Reviews

SaurabhGaonshindhe

Principle Cloud Engineer at Sector 125

Modular structure and AI features stream new reporting processes

One of my clients has a requirement; they want to integrate metadata into the process, which means, for example, if I just want to implement a new field into my database, that field needs to be reflected throughout, let's say, 200 mappings. This highlights the need for a data-driven approach. My experience with technical support from Informatica is quite interesting; I would rate it as nine out of ten for Informatica PowerCenter kind of products or the Informatica integration products, because my team can do some hands-on using their free licenses or one-month kind of products. However, for products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point.

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WesamHabboub

Chief Consultant at Insight360

Stands out for its user-friendly interface, robust community support, competitive pricing and strategic approach to improving data accuracy

Its greatest asset lies in its user-friendly interface, specifically within the Talend Open Studio, known for its ease of use and familiarity among users. The robust community support proves invaluable when encountering challenges, providing a reliable resource for issue resolution. Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users. The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work. This functionality enables a streamlined process for identifying, assigning, and subsequently addressing data quality issues.

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Quotes from Members

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

Pros

"The solution's initial setup is quite straightforward."

"Axon has a marketplace that allows you to showcase all the assets the data owner has, so they can request access. That's one feature we use extensively. Axon also offers great visibility and intuitive searchability, allowing you to easily search data assets. You can check the lineage and see the work EDC does. EDC handles all the classification, cataloging, and lineage. It's integrated with Axon, and anyone can see that."

"Replication allows us to fully replicate all objects from Shop Floor Data Collection (SFDC) to in-house/on-premises database in one job."

"The tool's most valuable feature is bulk upload. We upload files in CSV or Excel format."

"The solution is stable."

"There are a couple of valuable features. One is that it is very quick on the profiling. So, you get a very fast snapshot of the type of data that you're looking at from the profiling perspective. It can highlight anomalies in the data."

"Seeing the data in the mapping itself is really nice."

"This is where I think MDM shines - with its strong fuzzy matching algorithm. This is the essence of Informatica MDM. Based on these results, I can write our match conditions and then perform the corresponding data management activities."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"The solution is customizable."

"The solution enables robust data matching, merging, survivorship, and Data Stewardship that can be a part of data quality workflows or true master data management."

"It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across different systems. It has seamless integration with different databases. It has components using which you can easily integrate with different databases on the cloud or on-premise. It is a drag and drop kind of tool. Instead of writing a lot of Java code or SQL queries, you can just drag and drop things. It is all very pictorial. It easily tells you where the job is failing. So, you can just go quickly and figure out why it is happening and then fix it."

"The jobs are visual and this has improved collaboration between colleagues. It’s much easier to understand a visual job than a piece of Java code."

"Provides a flexible development environment to the coder."

"It has definitely streamlined certain processes."

"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."

"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."

More Talend Data Quality pros

Cons

"From multiple masters that are there in Informatica MDM, we can improve the financials."

"There's no direct way to connect to Amazon APIs from Informatica Cloud."

"In terms of cost effectiveness, Informatica Intelligent Data Management Cloud (IDMC) is more than 20% costly compared to the industry."

"Informatica is very expensive."

"Their UI needs improvement. Their scorecards and reporting also need improvement. Their data quality reporting, especially their dashboards and scorecards, is lackluster at best. Its reporting capabilities are limited. If you want to do anything beyond its limited reporting capabilities, then you're going to have to use an external reporting tool such as Power BI or something like that."

"It is not easy to set up and configure the tool."

"The advertising makes promises about data analytics that it does not keep."

"Enhancements on the UI front, such as multiple templates and improved grid views, would be beneficial."

More Informatica Intelligent Data Management Cloud (IDMC) cons

"I would say that some of the support elements need improvement."

"When we upgraded to Version 6.4.1, we tried using a GIT repository instead of a SVN repository. After a few incidents where things disappeared and changes were not saved, we decided to go back to a SVN repository."

"Finding assistance with issues can be spotty. With Python, there are literally millions of open source answers which are recent and apply to the version that we are using."

"In redundancy analysis, the query is failing to bring non-matched records. This query is an internal script. There is no way (that I know of) to fix this syntax error for future runs."

"There are more functions in a non-streamlined manner, which could be refined to arrive at a better off-the-shelf functions."

"If we encounter issues, it’s most likely when using the Talend Open Studio. The studio can be slow, get stuck, or crash. But again, it can be caused by the resources of your machine or your connection with the repository. If we encounter issues with the Studio we restart the Studio. In emergencies, we create and use a new workspace."

"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."

"In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations."

More Talend Data Quality cons

Pricing and Cost Advice

"Informatica MDM's pricetag should come down. They have to cut some costs."

"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."

"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."

"The platform has a premium cost. I rate the pricing as seven out of ten."

"The product is highly-priced."

"We got a 50% discount."

"The product is not very pocket-friendly for small and medium-sized businesses, and it is understandable because of the kind of features the tool gives."

"We saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics."

More Informatica Intelligent Data Management Cloud (IDMC) pricing and cost advice

"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."

"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

"It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."

"It's a subscription-based platform, we renew it every year."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

10%

Manufacturing Company

10%

Insurance Company

Computer Software Company

11%

Manufacturing Company

Financial Services Firm

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	42
Midsize Enterprise	24
Large Enterprise	134

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	4

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 Talend Data Quality?

The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.

What is your experience regarding pricing and costs for Talend Data Quality?

There are many data quality tools available, but some can be expensive. Talend Data Quality stands out because it is often provided for free if you already have Talend Data Integration, which means...

What needs improvement with Talend Data Quality?

Talend suite might have a missing product, particularly in the commercial master aspect. This would contribute to completing the overall picture, though the focus isn't necessarily on economic cons...

Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC)

Comparisons

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Azure Data Factory vs Informatica Intelligent Data Management Cloud (IDMC)

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Informatica Cloud Data Quality vs Talend Data Quality

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Product Reports

Informatica Intelligent Data Management Cloud (IDMC)

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Informatica Intelligent Data Management Cloud (IDMC) report

Talend Data Quality

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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

Informatica Intelligent Data Management Cloud (IDMC) integrates data quality, governance, and integration with flexible architecture. It supports multiple domains and a data models repository, delivering AI-enhanced data management across cloud-native platforms.

IDMC provides seamless integration and governance capabilities that support diverse data environments. Its comprehensive suite includes customizable workflows, data profiling, and metadata management. AI features, a data marketplace, and performance scalability enhance data management. While its interface poses challenges, its robust matching and cloud-native integration facilities are essential for complex data ecosystems. Users employ IDMC for connecting systems, ensuring data quality, and supporting data compliance but seek better pre-built rules, services, and improved connectivity, especially with platforms like Salesforce. Licensing, cost, and added AI functionalities are areas for potential refinement.

What are the key features of IDMC?

Data Quality and Integration: Seamless integration ensures data accuracy across platforms.
Metadata Management: Comprehensive metadata management supports data governance.
AI Capabilities: AI features enhance automation and decision-making processes.
Data Marketplace: Facilitates easy access to data across the organization.
Performance Scalability: Scales performance efficiently to meet growing data demands.

What benefits should be expected from IDMC?

Enhanced Data Management: Offers robust tools for data governance and quality.
Improved Integration: Connects disparate systems seamlessly, reducing data silos.
Cost Efficiency: Streamlines data processes, potentially reducing operational costs.
Data Compliance: Supports compliance with data privacy regulations.
Agility and Scalability: Adapts quickly to changing data environments.

IDMC is implemented across industries for data integration, metadata management, and governance. Organizations use it to connect systems, migrate data to cloud environments, and maintain data quality. They manage master data and automate business processes, facilitating data lineage and ensuring compliance with privacy regulations.

Informatica

The data quality tools in Talend Open Studio for Data Quality enable you to quickly take the first big step towards better data quality for your organization: getting a clear picture of your current data quality. Without having to write any code, you can perform data quality analysis tasks ranging from simple statistical profiling, to analysis of text fields and numeric fields, to validation against standard patterns (email address syntax, credit card number formats) or custom patterns of your own creation.

Talend

Sample Customers

The Travel Company, Carbonite

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Informatica Intelligent Data Management Cloud (IDMC) vs. Talend Data Quality