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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
7.8
Reviews Sentiment
6.8
Number of Reviews
182
Ranking in other categories
Data Integration (3rd), Business Process Management (BPM) (13th), Business-to-Business Middleware (4th), API Management (8th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (1st), 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
4th
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 April 2025, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 20.6%, down from 25.5% compared to the previous year. The mindshare of Syniti Data Quality is 11.5%, up from 7.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

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.
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 most valuable features of Informatica MDM are it is cloud-enabled and has all the elements that are supposed to have in terms of MDM as a solution. All the features that are there. It is very well-integrated with any of the SAP and non-SAP applications. It is quite user-friendly. The user experience that you receive in Informatica MDM is quite good."
"It is quite easy to use and flexible."
"MDM is very stable - it can handle millions of hits daily and still run 24/7."
"Informatica MDM's most valuable feature is the interconnection between multiple Master Data domains."
"The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"I rate the technical support a ten out of ten."
"In the latest version, I like the outlay of the business roles creation. I like seeing that visualization as you're building it, as opposed to going through metatables or XML mappings. We liked that piece, and it makes it more intuitive for the business."
"The scalability is very high."
"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."
"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."
"The customer service and support is good."
"The major benefits of Syniti Data Quality stem from the productivity and flexibility it offers to users."
 

Cons

"A general improvement in icons and the virtual interface would be good."
"I need to have some insight into the tool's cloud capabilities."
"They need more feature flexibility, as it is not fully developed."
"I would like to see more API integration to have the capability to build a report using other third party reporting tools to streamline the operation."
"The GUI needs to be a little more user-friendly and appealing."
"Its cloud-based version has a few limitations compared to the on-premise version."
"Informatica MDM has limitations with connectivity."
"Needs to implement the new workflow with simple steps and a quick visualization with a 360 view of the data."
"In Syniti Data Quality, data extraction is an area with certain shortcomings where improvements are required."
"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."
"The loading mechanisms and administration processes, particularly in setting up connections and deploying the system, need improvement."
 

Pricing and Cost Advice

"The solution's pricing model is easy, but it is very expensive."
"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."
"I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same."
"The product is very expensive"
"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."
"I rate the licensing cost of Informatica MDM a five out of ten."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"The solution is expensive."
"I would rate the pricing a six out of ten, where one is cheap, and ten is expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Insurance Company
6%
Manufacturing Company
19%
Computer Software Company
13%
Financial Services Firm
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 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: April 2025.
846,617 professionals have used our research since 2012.