Try our new research platform with insights from 80,000+ expert users

Informatica Intelligent Data Management Cloud (IDMC) vs Talend Open Studio 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
3rd
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Quality (1st), 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 (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
Talend Open Studio
Ranking in Data Integration
5th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
50
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 4.2%, down from 6.7% compared to the previous year. The mindshare of Talend Open Studio is 4.4%, down from 5.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Saikat Ghosh - PeerSpot reviewer
Match and merge functionality is still the best but cloud version needs more functionality
There are various areas for improvement in IDMC. Enhancements on basic data management functionality and the UI front, such as multiple templates and improved grid views, would be beneficial. Bulk data management features could be improved from the UI perspective to get to the level of the on prem versions of Informatica MDM. The tool needs to mature but missing small but important features, like restricted dynamic attributes functionality, data inheritance rules in master hierachies, identifiers not being passed in jobs is a drawback.
Costin Marzea - PeerSpot reviewer
Allows you to develop your own components and can be used as an OEM
Sometimes, scalability is part of planning. It depends on what you mean by scalability. People talk a lot about it, but scalability is not always about system functionality. Sometimes, it may be planning the job you're doing. If you want to split it into several jobs or servers, you don't actually have to have it built in as a functionality. You can create a job using a loop, which runs and controls several jobs in a loop that may be controlled. Scaling should not always be part of the infrastructure based on whether the engine can scale or not. I think it's your plan or project that should scale and split, and you can define these parameters. These parameters include how many servers you want to run or how many executions you want to do on different parts of the data. It's not always an issue of the engine running. Sometimes, your database should be configured to support partitioning. The product may scale very well without partitioning, but if the basic response is very slow, you didn't solve the problem. You should solve the problems at a higher level, not just at the execution level. They should be solved at the database level and communication level, and you should have firewalls. We are trying to add to the open source the ability to generate code for containers and Kubernetes that exist in the subscription version. Once you do this, Kubernetes will take care of the scaling, so there is no problem.

Quotes from Members

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

Pros

"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."
"Its data cleansing capabilities are very valuable. The match and merge and the audit trail functionalities are very good."
"The product is scalable and excellent for enterprise-level organizations."
"Informatica MDM has data quality, mastering the data's capability."
"The solution offers good data governance."
"It comes with lot of features and is a one-stop-shop solution for integration, data modeling, and data governance. Everything can be built under one particular umbrella. If any issues come up, then there won't be any blame game saying that it could be an integration issue or an MDM hub issue because it's wholly owned by Informatica. That's the biggest advantage of Informatica MDM over that of any other tools that are available on the market."
"Informatica Business Process Manager is easy to use and learn."
"The product seems stable enough."
"The most valuable features are the ETL tools."
"The most valuable features are definitely data integration, data preparation, and data stewardship."
"This product is very easy to use."
"The product's initial setup phase was easy."
"You can use Talend SDK to develop your own components and add them to the product."
"The standout feature for me is the user-friendly nature of the components."
"Talend Studio has the ability to use it to ensure data quality."
"We're sold on the customization part of the solution."
 

Cons

"New machine learning could be added to Informatica MDM because the solution is outdated and is not moving with the current trends. The solution is good, but it definitely needs a lot of improvement and needs to speed up as per the market."
"Certain applications are not being synced with the ION."
"Informatica's support understands the solution, but they lack the experience we need for our use case. That was one thing that we prioritized when we started searching for this kind of solution."
"We'd like to see the microservices, which don't run yet because the solution is not yet fully cloud-based."
"Its features for partitioning and optimization could be better."
"The solution still is a bit manual in its functionality. We want t to be more automation-driven."
"Connectivity could be improved, it can be a little slow."
"In terms of what could be improved, they need to create a rules repository. Business rules for the attributes that you have, keeping them in that central repository, and governance of them is something which Axon is lacking a bit. The Informatica Data Quality tool actually caters to that, so that's probably why they have not built that up in the Axon, but it is definitely something that can be built in to this product, as well."
"The user interface could be made simpler."
"It is complicated to understand the configuration process for email components."
"I would say that writing to JSON is kind of a pain. It reads from a JSON file pretty well, but writing to a JSON file is not so great because its components are not good."
"The price for Talend Data Integration should be less expensive."
"The high price of the solution is an area of concern where improvements are required."
"It needs better installation configuration for other databases. Although the installation allows you to select another database, this doesn't mean that all connection points in the application point to the database selected. You actually need to do a search through the entire install to locate the configuration settings and change them."
"The solution should integrate with a version control system in the subscription versions to make it easy to work with and manage the version control."
"It gets the job done but it's a bit slow."
 

Pricing and Cost Advice

"The solution is very expensive."
"It is expensive. That's probably the biggest drawback. The business has heartache paying the license, but that's mainly because they don't realize what value it brings. The key thing about the MDM solution is that it is in the backend, and no one sees what it is actually doing. You don't know it is a problem until it is not there."
"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten."
"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."
"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."
"It is cost effective and an easily accessible tool."
"The product has a high price point."
"The price of Informatica Cloud Data Integration could be reduced."
"Price could be lower. It is getting too expensive when compared to some other solutions, which is actually a little bit concerning."
"Pricing is always a challenge. It is quite an expensive model, but because the platform is so simple to use, we haven't had to purchase any additional licenses."
"Open Studio has a basic license and additional costs for services, including customer support and technical assistance."
"I am using the open-source version of the solution, so there are no extra costs for any feature."
"There are many versions available and one is open-sourced which is free."
"For Talend Open Studio, there is a need to make yearly payments towards the licensing cost. Talend Open Studio is a bit expensive, in my opinion."
"Talend is free and you can download it."
"It does the job well for nothing — without cost. That's the advantage of this product."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
860,168 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
9%
Insurance Company
6%
Financial Services Firm
17%
Computer Software Company
13%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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 ...
How does Talend Open Studio compare with AWS Glue?
We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from Amazon Web Services. AWS Glue enables AWS users to create and manage jobs in...
What do you like most about Talend Open Studio?
It is easy to use and covers most of the functions needed. We can use the code without any extra effort. The open source is very good. They have the same commercials with additional connectors. The...
 

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
Open Studio
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Almerys, BF&M, Findus
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. Talend Open Studio and other solutions. Updated: May 2025.
860,168 professionals have used our research since 2012.