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

Informatica and Talend are both solutions in the Data Quality category. Informatica is ranked #1 with an average rating of 7.8, while Talend is ranked #5 with an average rating of 8.0. Informatica holds a 11.2% mindshare in DQ, compared to Talend’s 4.7% mindshare. Additionally, 93% of Informatica users are willing to recommend the solution, compared to 89% of Talend users who would recommend it.

Informatica Intelligent Dat...

Read 186 Informatica Intelligent Data Management Cloud (IDMC) reviews

21,895 Views
1,971 Comparison Views

93% willing to recommend

Talend Data Quality

Read 20 Talend Data Quality reviews

1,368 Views
1,053 Comparison Views

89% willing to recommend

Informatica Intelligent Dat...

Talend Data Quality

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Executive SummaryUpdated on Jan 6, 2025

Talend Data Quality and Informatica Intelligent Data Management Cloud (IDMC) compete in data management and quality assurance. Talend appeals to budget-conscious organizations through its pricing and support, while Informatica IDMC is recognized for its superior features and investment worth.

Features: Talend Data Quality is known for its robust cleansing and profiling tools, seamless integration with various data sources, and strong data profiling capabilities. Informatica IDMC provides comprehensive data management, excelling in automation, metadata management, and handling complex data scenarios.

Room for Improvement: Talend Data Quality could enhance its scalability and expand its advanced features. It may also benefit from improved performance in handling massive data sets. Informatica IDMC could simplify its deployment process and reduce the complexity of its features for casual users. Additionally, improving its cost structure may make it more accessible to smaller enterprises.

Ease of Deployment and Customer Service: Talend Data Quality offers a straightforward deployment model with comprehensive support, but its scalability is limited. Informatica IDMC offers a scalable cloud-based deployment backed by extensive customer support, accommodating a broader range of enterprise needs.

Pricing and ROI: Talend Data Quality generally presents a lower setup cost, making it attractive for companies with budget constraints aiming for quicker ROI. Informatica IDMC involves higher initial investments but can offer substantial long-term benefits due to its advanced features and scalability.

To learn more, read our detailed Informatica Intelligent Data Management Cloud (IDMC) vs. Talend Data Quality Report (Updated: September 2025).

Buyer's Guide

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

September 2025

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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

186

Ranking in other categories

Data Integration (4th), Business Process Management (BPM) (11th), Business-to-Business Middleware (6th), 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 (3rd)

Mindshare comparison

As of September 2025, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 11.2%, down from 23.0% compared to the previous year. The mindshare of Talend Data Quality is 4.7%, down from 6.5% 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)	11.2%
Talend Data Quality	4.7%
Other	84.1%

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 governance process was fully manual before, but Axon helped us configure those processes, giving us more visibility, transparency, and control over the data."

"The fuzzy matching capability is a great feature."

"The way that the solution scans is very useful."

"The advanced features like task flow and conditional integration are particularly useful."

"It is a highly scalable solution."

"The support is very good."

"Informatica MDM has a defined data model we can customize with user and developer options."

"The serverless capability and the packaging application of the solution are valuable."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."

"Provides a flexible development environment to the coder."

"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."

"I really like the fact that there are no out-of-the-box solutions regarding the development of jobs. Other vendors may have modules which cleanse your addresses. In Talend, you have the freedom to completely develop the process yourself. This can be tricky, but it also makes it fun."

"It has definitely streamlined certain processes."

"We have used value frequency and patterns. We have been it impressed with these functions as they have helped us in making decisions in transformation work."

"I like idea of storing the results of Data Quality jobs in a DB and having the ability to run reports in the DB to show a dashboard of quality metrics."

"The Studio is easy to understand."

More Talend Data Quality pros

Cons

"The configurations could be better. It is a bit confusing because we must develop two tools when building a data model in Informatica MDM. Even though Informatica MDM is a single tool, we have our hub console plus the provisioning tool within that. Whatever data model we are building in the hub console, we have to develop it in the provisioning tool again. It is double the work to create a data model. We are also using external calls or the Java custom plans functions. This can be both positive and negative. Since MDM as a client does not support any complex validation, we have to depend on the external call or a Java call. Every time we deployed, the entire solution was impacted if something went wrong."

"Inserting the GenAI into the master data management will reduce the overall effort of operational activities."

"It could be improved by including a buffer that saves data when there is a connectivity issue."

"It would be great if the cloud version could match the full range of capabilities available on-premise."

"The integration process is not easy."

"Informatica MDM has limitations with connectivity."

"I would also like to have profiling functionalities and quality transformations in the cloud."

"The integration could be a bit better. The process is something new."

More Informatica Intelligent Data Management Cloud (IDMC) cons

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

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

"You can't join more than two tables for analysis."

"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling. With Talend DQ, I cannot generate any reports today, so I need an ETL tool. It provides general Excel files, or I have to create some views. If instead of buying a new tool, Talend provides a reporting capability or solution, it would be great. It will reduce the development effort for creating these kinds of reports. We also manage the infrastructure for Talend. From the licensing perspective, for cloud, they only have seat licenses where one person is tied to one license, but for on-premise, they have concurrent licenses. It would be really awesome if they can provide concurrent licenses for the cloud so that if one person is not there, somebody else can use that license. Currently, it is not possible unless a person deactivates his or her license and moves the same seat license to someone else. We are one of the biggest customers in the central zone of the US for Talend, and this is the feedback that we have provided them again and again, but they come back and say that they aren't able to provide concurrent licenses on the cloud. In version 7.3, there is a feature for tokenization and de-tokenization of data. This is the feature that we are looking for. It is useful if somebody wants to see what we have masked and how do we demask it. This feature is not there in version 7.1. There are also a few other capabilities on the cloud, but we don't yet have a big footprint in the cloud."

"NullPointerExceptions are going to be the death of me and are a big reason for our transition away from Talend. One day, it is fine with a 1000 blank rows, then the next day, it will find one blank cell and it breaks down."

"The ability to change the code when debugging the JavaScript could be improved."

"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."

"SQL for displaying underlying data in non-match results does not work."

More Talend Data Quality cons

Pricing and Cost Advice

"Informatica is very expensive."

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

"Pricing is determined by the number of licensed users as well as the number of Core CPUs."

"I rate the licensing cost of Informatica MDM a five out of ten."

"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."

"The licensing price of the product depends on the organization's requirements."

"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."

"The price is comparable."

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

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

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

"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."

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

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

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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

13%

Financial Services Firm

Comms Service Provider

Manufacturing Company

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	3
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...

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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...

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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 ...

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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.

See all answers

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...

See all answers

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...

See all answers

Comparisons

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

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Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

September 2025

Informatica Intelligent Data Management Cloud (IDMC) report

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Buyer's Guide

Talend Data Quality

August 2025

Download Talend Data Quality product report

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

Buyer's Guide

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

September 2025

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