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

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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 Integration
4th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
186
Ranking in other categories
Data Quality (1st), 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 Fabric
Ranking in Data Integration
27th
Average Rating
8.4
Reviews Sentiment
7.3
Number of Reviews
6
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2025, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.6%, down from 6.3% compared to the previous year. The mindshare of Talend Data Fabric is 0.9%, down from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Informatica Intelligent Data Management Cloud (IDMC)3.6%
Talend Data Fabric0.9%
Other95.5%
Data Integration
 

Featured Reviews

SaurabhGaonshindhe - PeerSpot reviewer
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.
KrishnaBaddam - PeerSpot reviewer
Supports API integrations and enables users to handle data management
Informatica is a well-established product known for its stability. Hardware and configuration can affect its performance, and it's not a lightweight tool that will fail quickly. When purchasing Informatica, you have options based on your needs. A simple data ingestion or integration license is relatively affordable, but the full Data Fabric suite is expensive. The Data Fabric suite includes integration, data quality, API management, big data processing, and real-time capabilities. For those who don't need the entire suite, purchasing individual components, such as data integration or data quality, it is a more cost-effective option. These individual licenses are generally less expensive than the complete Data Fabric suite, offering a more flexible and budget-friendly choice than Informatica's flagship.

Quotes from Members

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

Pros

"It is a highly scalable solution."
"It allows the creation of identical tasks that can be applied across multiple tables, ranging from 100 to even 1,000 tables."
"​The tool manually checks on applying business rules and helps to implement them."
"We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors."
"It is one of the best tools available for data integration."
"The most valuable feature of Informatica Axon has been the data marketplace."
"The Mapping Configuration and PowerCenter wizards are valuable. We use them to run our business logic."
"The fuzzy matching capability is a great feature."
"Talend can be used for multi-cloud purposes, allowing users to orchestrate data across various cloud platforms without purchasing AWS Glue, Azure Data Factory, or similar cloud-specific tools."
"The Talend data integration has been one of the most valuable features."
"The initial setup is very easy."
"We've had no issues with the stability so far."
"Everything in Talend Data Fabric is GUI-based, making it very user-friendly and easy to learn quickly."
"It is a smart tool for us to design data pipelines. It lets us populate our three data lake instances. We like this solution for its connection capabilities, since it is very important to be able to use many different types of software. We tested a lot of SAP sources successfully, including cloud sources with SAP. It is also very easy to anonymize data with TIBCO, as well as populating HDFS files, packet files, and raw files. It is very easy to do that with Talend Data Fabric."
 

Cons

"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"Informatica Cloud Data Integration can improve by being more user-friendly. When you're working with the solution a lot of technical knowledge is required. It's not a solution that anyone can use properly, you need knowledge of what's happening at the back end, such as SQL. When you get stuck, you need to look into your logic. For other tools, such as Dell Boomi, anyone can use them."
"The UI is terrible and not user-friendly."
"The scalability is tough."
"There is room for improvement at the highest level in terms of useability and connectors for various types of new applications. The row processing performance could be better because you experience some latency dealing with high volumes of data. Most organizations will be dealing with multiple cloud applications, so you could see performance issues moving from one system to another."
"The product could be improved in the area of architecture and technology. All the parts are old."
"Cost-wise, it could be better."
"The price modeling could be more flexible."
"Talend's architecture is complex to configure, especially due to the various components involved. It requires a more intricate setup."
"The support is not very good. The team is not well-trained, and resolving a ticket can require several discussions."
"We are currently using version 7.3.1, but preferred the version before. The problem that we currently have is that Talend are releasing patches for Talend Studio every quarter. Our technical team has to be on top of these patches and constantly ensure everything is updated."
"Deployment can be difficult, but I didn't test the latest version yet. With Talend products, every release brings a lot of new features and functionalities. This is never a small adaptation, because the tool is maturing, but we need to test the latest version and to check its deployment capabilities."
"I would like to see better integration with other tools."
"We encounter issues getting email notifications. They should provide enough information about the configuration process for email components."
 

Pricing and Cost Advice

"It is an expensive solution. I would say it is the most expensive solution in the market."
"There is no doubt that it is very expensive, but the brand value comes at a cost. Other MDM solutions in the market that haven't proven themselves like Informatica are also pretty expensive. We need to understand that MDM itself is very expensive to implement. So, Informatica is also pretty expensive. I would rate it a two out of five for being pretty expensive."
"I rate the product's price a seven on a scale of one to ten, where one is the cheapest and ten is the most expensive. The product is a bit 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 pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"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."
"We are quite happy with the licensing model."
"The price is comparable."
"There are no additional licensing fees when you scale"
"There are multiple subscriptions available with Talend, each with its own scope. Subscriptions depend on the number of users you have and how many remote engines you want to install."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
10%
Manufacturing Company
10%
Insurance Company
7%
Financial Services Firm
17%
Computer Software Company
11%
Educational Organization
10%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business42
Midsize Enterprise24
Large Enterprise134
By reviewers
Company SizeCount
Small Business4
Large Enterprise3
 

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 needs improvement with Talend Data Fabric?
Data governance is still not mature. There is not much documentation available for it, and the maturity of the product does not meet my expectations. Master Data Management has been decommissioned,...
What is your primary use case for Talend Data Fabric?
The main use cases for Talend Data Fabric include setting up a data lake to enable the data platform.
 

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

 

Sample Customers

The Travel Company, Carbonite
Information Not Available
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. Talend Data Fabric and other solutions. Updated: September 2025.
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