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

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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.

Read full review

Quotes from Members

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

Pros

"The profiling feature in Informatica Data Quality is incredibly effective for data governance."

"The data quality component is very good."

"Its data cleansing capabilities are very valuable. The match and merge and the audit trail functionalities are very good."

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

"It is quite easy to use and flexible."

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

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

"It's got a reputation in the industry as one of the best solutions for master data management. So, it's what we see in the Gartner top right quadrant as the best product in that space."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"Some of the algorithms that are inbuilt in Talend Data Quality, such as Levenshtein, are the most valuable functions for us."

"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 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."

"tLogRows are also great for finding bad data."

"It has definitely streamlined certain processes."

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

"We are able to get emails from URLs very easily using this function when others fail."

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

More Talend Data Quality pros

Cons

"The cloud version of the Informatica, it's a very substandard product. They might say it's enterprise-ready but it's not at all ready. They need to add more features, such as improved data replication features. If you look at other tools, such as Matillion they are now cloud-native and flexible. Additionally, Informatica Cloud Data Integration should have a good migration strategy from Informatica PowerCenter to Informatica Cloud Data Integration."

"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."

"Database access is highly restricted particularly if you're using the cloud version."

"There could be a lot more application integration."

"One thing Informatica could improve is the way IPUs are used. Each customer purchases a certain amount of IPUs per month, but you can use more or less than that defined quantity. The only problem is if you don't use the all your IPUs, they don't carry over into the next month. I think customers should have the ability to transfer unused IPUs into the next month or year. This improvement could help give customers more flexibility, especially since cloud solutions need flexibility in how we use and pay for them."

"There are also some technical issues sometimes with integrations because clients have a lot of different types of data sources."

"It is complicated to establish the lineage in EDC using PowerCenter mappings."

"Cost-wise, it could be better."

More Informatica Intelligent Data Management Cloud (IDMC) cons

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

"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."

"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."

"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."

"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."

"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."

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

"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."

More Talend Data Quality cons

Pricing and Cost Advice

"The product is very expensive"

"The pricing is high compared to other tools on the market."

"Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."

"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."

"I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."

"It is cost effective and an easily accessible tool."

"It's an expensive solution."

"The price is high, but the competitors are even higher, like Collibra."

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."

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

"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."

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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 4% 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

More Informatica Intelligent Data Management Cloud (IDMC) Competitors

Ataccama ONE Platform vs Talend Data Quality

Compared 19% 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 10% of the time

Precisely Trillium vs Talend Data Quality

Compared 8% 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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