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

Informatica Intelligent Data Management Cloud (IDMC) vs Syniti Data Quality comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 6, 2025

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) 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)
Syniti Data Quality
Ranking in Data Quality
5th
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 17.9%, down from 24.8% compared to the previous year. The mindshare of Syniti Data Quality is 10.9%, up from 8.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

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.
RA
Offers predefined rules and easy to migrate data with minimum customisation of rules
The customization of the data needs improvement. We need to build basic SQL queries rather than being able to do it within the tool. We need to be able to analyze the SQL queries and then rerun them based on customer usage. We should be able to tune the existing process by using simple SQL queries based on the customer's requirements. In future releases, I would like to see more features around Preload and postload reports. From the end-user point of view, it is not very feasible to read. I need to know how the data has been migrated. I need to know whether the complete data has been migrated, only the required data has been migrated, and how it was migrated. So the postload reports will give validation between the source data and the target source. It would give exact picture of the data migration.

Quotes from Members

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

Pros

"The product seems stable enough."
"The valuable feature is metadata management. If you want to trace sensitive data, you can auto-classify them. You can search for sensitive information through EDC. Using Discovery, you can identify if there is any type of data set."
"I like the connectivity and richness of features for the technical team, the maturity of the product, and that it had a cloud version. There is Informatica Cloud, and it is part of the Informatica Cloud platform."
"The OAuth feature is the most valuable feature for authentication."
"I like EDC's self-service capabilities. You can put the catalog on the intranet inside the organization, so users can search for something. People in the research world have specialized systems, and you might find data from various places that sound similar."
"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 feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application."
"The most important features are the mastering of the data and the UI intuitiveness."
"The major benefits of Syniti Data Quality stem from the productivity and flexibility it offers to users."
"Syniti has built-in 80% of the solution, and we only need to customize 20 to 25% of the features. It is easy to run and pre-load reports."
"The customer service and support is good."
"With Syniti Data Quality, you can integrate SAP and directly fix errors from Syniti Data Quality instead of logging into SAP and then fixing them."
 

Cons

"There are a small number of UI bugs that occur on occasion."
"The biggest challenge I see is the IDE's for the cloud and automization are different."
"The product isn't mature enough to provide suitable connectors to various data engines."
"The tools required to migrate existing mappings and server rules through cloud data quality are not available."
"Informatica MDM could be improved by adding drag and drop options, business data insights, and visualization reporting."
"The stability and the integration of the solution have room for improvement."
"The product is not too user-friendly to do the configurations."
"Though EDC has maximum coverage, a few things were not available to scan, but I think EDC is evolving to address this issue."
"In Syniti Data Quality, data extraction is an area with certain shortcomings where improvements are required."
"The loading mechanisms and administration processes, particularly in setting up connections and deploying the system, need improvement."
"The customization of the data needs improvement. We need to build basic SQL queries rather than being able to do it within the tool. We need to be able to analyze the SQL queries and then rerun them based on customer usage."
"It would be good if Syniti Data Quality could integrate more AI in the future."
 

Pricing and Cost Advice

"The platform has a premium cost. I rate the pricing as seven out of ten."
"The product is highly-priced."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"The price is very high and has become a big concern for our customers who require the solution in order for their business to function smoothly."
"It's a costly solution"
"The solution is very expensive."
"Informatica Axon is a costly solution. I rate Informatica Axon a four out of ten for its pricing."
"Its pricing model can be improved."
"I would rate the pricing a six out of ten, where one is cheap, and ten is expensive."
"The solution is expensive."
report
Use our free recommendation engine to learn which Data Quality solutions are best for your needs.
859,687 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%
Manufacturing Company
17%
Computer Software Company
11%
Financial Services Firm
10%
Retailer
7%
 

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 do you like most about Syniti Data Quality?
The customer service and support is good.
What needs improvement with Syniti Data Quality?
The loading mechanisms and administration processes, particularly in setting up connections and deploying the system, need improvement.
What is your primary use case for Syniti Data Quality?
Syniti Data Quality's use case is similar to what we do in SAP Information Steward. You can create a data quality report and your business Steward, which is more into cleansing the data. They will ...
 

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
Syniti DQ
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Kraft Foods, Puget Sound Energy
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. Syniti Data Quality and other solutions. Updated: June 2025.
859,687 professionals have used our research since 2012.