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 10.8% mindshare in DQ, compared to Talend’s 4.9% mindshare. Additionally, 93% of Informatica users are willing to recommend the solution, compared to 90% of Talend users who would recommend it.

Informatica Intelligent Dat...

Read 185 Informatica Intelligent Data Management Cloud (IDMC) reviews

20,563 Views
1,851 Comparison Views

93% willing to recommend

Talend Data Quality

Read 21 Talend Data Quality reviews

1,324 Views
1,019 Comparison Views

90% 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

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) (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

6.9

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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Karthik Babu

Senior Consultant at a tech services company with 201-500 employees

Have consistently ensured data accuracy and validation with built-in algorithms

I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not well-versed with the latest technology, so I cannot suggest additional functions that could make the product better or simplify my work with it. Generally, whatever jobs we have written in Talend Data Quality are working fine, so I am satisfied with that.

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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

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

"Data synchronization tasks."

"It is quite easy to use and flexible."

"The OAuth feature is the most valuable feature for authentication."

"You can extract and transfer your data as you wish it to be consumed later."

"The solution offers good data governance."

"I think the integration feature is probably one of the key features in Informatica MDM...Stability-wise, I rate the solution a ten out of ten."

"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. It takes away all the ambiguity around data integrity issues or all the process challenges which happen when every stage of a process uses a different source as master data."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"The solution is customizable."

"It has definitely streamlined certain processes."

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

"It’s easy to monitor the processes. Every morning I’ll open the Talend Administration Center to check the status of the process. Within seconds I’m able to see which process ran successfully and which have failed and why they failed."

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

"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."

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

"It offers advanced features that allow you to create custom patterns and use regular expressions to identify data issues."

More Talend Data Quality pros

Cons

"I have encountered some issues using the substitution, which is one of the techniques of data masking."

"The solution is quite expensive."

"Its cloud-based version has a few limitations compared to the on-premise version."

"IEDC can improve the comparison of lineages."

"I would rate my experience with the initial setup a two out of ten, with one being difficult and ten being easy."

"I need to have some insight into the tool's cloud capabilities."

"Informatica Axon needs more integration connectors so that it can connect to systems and different kinds of datasets."

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

More Informatica Intelligent Data Management Cloud (IDMC) cons

"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."

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

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

"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."

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

"There are too many functions which could be streamlined."

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

More Talend Data Quality cons

Pricing and Cost Advice

"Informatica MDM's price could be lower."

"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."

"It's offers value for money. They're more competitive with respect to pricing and offerings."

"Informatica is very expensive."

"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."

"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."

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

"Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."

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

"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."

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

"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

15%

Manufacturing Company

10%

Computer Software 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...

See all answers

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...

See all answers

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 ...

See all answers

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 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

What is your primary use case for Talend Data Quality?

We recently deployed it for one of our clients, who use it to enhance the quality of their government-related customer data. The primary focus is on ensuring compliance with government policies, an...

See all answers

Comparisons

Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

Microsoft Purview Data Governance vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 3% of the time

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

Compared 3% of the time

Collibra Governance vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 3% of the time

Reltio Cloud vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 3% of the time

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Ataccama ONE Platform vs Talend Data Quality

Compared 18% of the time

ibi Data Quality vs Talend Data Quality

Compared 11% of the time

Informatica Cloud Data Quality vs Talend Data Quality

Compared 11% of the time

DQ Global Data Quality vs Talend Data Quality

Compared 9% of the time

Precisely Trillium vs Talend Data Quality

Compared 7% of the time

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Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

October 2025

Informatica Intelligent Data Management Cloud (IDMC) report

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Buyer's Guide

Talend Data Quality

October 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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