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Informatica Intelligent Data Management Cloud (IDMC) vs Semarchy xDM 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...
Ranking in Cloud Master Data Management (MDM) Solutions
1st
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
181
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (7th), Business-to-Business Middleware (3rd), API Management (7th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Data Management Platforms (DMP) (1st), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (2nd), Product Information Management (PIM) (1st), Data Observability (2nd)
Semarchy xDM
Ranking in Cloud Master Data Management (MDM) Solutions
6th
Average Rating
8.4
Number of Reviews
3
Ranking in other categories
Master Data Management (MDM) Software (4th)
 

Featured Reviews

Raj Sethupathi - PeerSpot reviewer
Offers profiling and address standardization but can be complicated
Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.
Syed-Hasan - PeerSpot reviewer
Quick MVP development facilitated by low-code data management
Semarchy xDM's unique selling point is its quick turnover time, allowing for the rapid development of a proof of concept or minimum viable product. Its low-code approach, essentially a wrapper for SQL, enables easy and quick development. The core features include validation business rules, deduplication, merging, and consolidation from multiple sources.

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 features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"The product is scalable and excellent for enterprise-level organizations."
"The user interface is flexible and the visibility of the data flow is amazing."
"I like the number of options that are presented with Informatica, fuzzy matching, and your screen."
"It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades."
"The capability of the tool to scan and capture the metadata from a variety of sources is one of the capabilities that I find most useful. The central repository into which it is going to put that captured metadata is the best."
"It is a scalable product."
"Semarchy xDM's unique selling point is its quick turnover time, allowing for the rapid development of a proof of concept or minimum viable product."
"Their documentation is excellent."
"The flexibility of Semarchy xDM allows for possible deployment on-premises, in the cloud, or both."
 

Cons

"It would be great if the cloud version could match the full range of capabilities available on-premise."
"There is room for improvement in the support. The response time could be faster."
"They have to improve their relationship discovery tool. They say that they have AI inside, but this AI did not automatically find relationships or suggested relationships between entities."
"A general improvement in icons and the virtual interface would be good."
"IEDC can improve the comparison of lineages."
"Certain applications are not being synced with the ION."
"The integration could be a bit better. The process is something new."
"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"There is room for improvement in terms of local support."
"They need to make the workflow more enhanced or dynamic in its functionality."
"There is room for improvement in the developer experience, particularly for those who are SQL proficient, as having more direct access would be beneficial."
 

Pricing and Cost Advice

"I have heard from customers that the product comes with a huge license cost."
"It's an expensive solution."
"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."
"I have no idea what the price actually is. It is probably not going to be the cheapest, but it is a pretty stable and robust platform from the backend standpoint."
"it's expensive, but if you're looking for a stable solution, Informatica MDM is a good one to choose."
"The product is very expensive"
"It's pretty high for us. It's more on the higher side, like low to middle high."
"It is cost effective and an easily accessible tool."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Government
6%
Computer Software Company
16%
Financial Services Firm
13%
Manufacturing Company
10%
Retailer
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?
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 is your experience regarding pricing and costs for Semarchy xDM?
The pricing model is based on the number of golden records. It is considered reasonable to good compared to other products that might be more expensive.
What needs improvement with Semarchy xDM?
There is room for improvement in the developer experience, particularly for those who are SQL proficient, as having more direct access would be beneficial. Additionally, configuring Semarchy xDM re...
What is your primary use case for Semarchy xDM?
The primary use case of Semarchy xDM is as a data management tool, specifically for master data management and reference data. It provides a platform to standardize information during mergers and a...
 

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
Semarchy Intelligent MDM
 

Overview

 

Sample Customers

The Travel Company, Carbonite
DiamondStream, Oakley, Araymond, EBU/Eurovision, Groupe Roullier, BOSE, Chipotle Mexican Grill, Putnam Investments, BAE Systems, Mundi Pharma, Merck, Elsevier, CMA CGM
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. Semarchy xDM and other solutions. Updated: January 2025.
831,158 professionals have used our research since 2012.