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Informatica Intelligent Data Management Cloud (IDMC) vs Talend Open Studio for MDM comparison

 

Comparison Buyer's Guide

Executive Summary

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...
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Integration (3rd), 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 for MDM
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
3
Ranking in other categories
Master Data Management (MDM) Software (9th)
 

Mindshare comparison

While both are Data Integration and Access solutions, they serve different purposes. Informatica Intelligent Data Management Cloud (IDMC) is designed for Data Management Platforms (DMP) and holds a mindshare of 15.0%, up 14.0% compared to last year.
Talend Open Studio for MDM, on the other hand, focuses on Master Data Management (MDM) Software, holds 6.1% mindshare, down 8.7% since last year.
Data Management Platforms (DMP)
Master Data Management (MDM) Software
 

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.
RR
Good stewardship and data prep capabilities with responsive technical support, but the deployment can be tricky
The most valuable features are the stewardship and the data prep. These two are very good on the Talend platform. The Talend data catalog is one of the great features that they implemented recently. It's more about data lineage and it may assist with the data governance program. It is a feature that is emerging in the market now.

Quotes from Members

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

Pros

"The most valuable feature of Informatica Cloud Data Integration is Pushback. You are able to push the data to the solution itself, and it can handle the queries. It helps us a lot. With other tools, the burden is kept on the server."
"We use parts and standardization for most of our testing. We purchase the US Postal Service address database, which is updated periodically. Many useful tools, such as Google Maps, can detect and mark new businesses or changes in business locations. Informatica captures and updates this information. Some periodic maintenance is involved, but setting it up is not overly complicated."
"The product seems stable enough."
"The interface is really good."
"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 most valuable features of the solution are pushdown, optimization, and partitioning, which can be used for frequent data loading, especially when we have a huge data volume in our company."
"I definitely would recommend the Informatica solution to other people."
"It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy."
"I really like the data fabric."
"The most valuable features are the stewardship and the data prep."
"The biggest advantage of Talend is that they have an active community. If we face any issue, we can get input in a short duration of time."
 

Cons

"If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool."
"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."
"Informatica MDM could be improved by adding drag and drop options, business data insights, and visualization reporting."
"The ability of the product to leverage the power of big data could be improved."
"Once the data is masked, we won't be able to reverse it back to its original value."
"There is room for improvement in the Data Marketplace aspect."
"I feel the out-of-the-box APIs or the API management could be improved slightly from their current state. It could be more user-friendly."
"Cost-wise, it could be better."
"Creating a model and deploying it is a little bit tricky in Talend, compared to other tools."
"I do not have notes for improvement."
"It can definitely be improved on the UI side. They can provide a better UI as compared to what is currently available. I'm trying to set up the UI to capture some information, and when I try to use the native feature of Talend, I'm finding it difficult. It could be improved a bit. Only when it comes to MDM, it is not user-friendly, but when it comes to data integration of Big Data, it's extremely user-friendly."
 

Pricing and Cost Advice

"The price is neither too high nor too low."
"It's a very expensive solution"
"It is cost effective and an easily accessible tool."
"The price of Informatica Cloud Data Integration could be reduced."
"We switched to Informatica PIM because it was cheaper than the Oracle solution. It is cheaper initially, but they will bundle it later. This is what happens in the industry."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"I rate Informatica MDM's price a six on a scale of one to ten, where one is a low price, and ten is a high price."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"It has one single license, and everything is included in it."
"The licensing fees vary depending on the products that you purchase."
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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
11%
Retailer
10%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

How does Azure Data Factory compare with Informatica Cloud Data Integration?
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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...
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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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
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Overview

 

Sample Customers

The Travel Company, Carbonite
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