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

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Informatica Intelligent Dat...
Ranking in Data Quality
1st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
181
Ranking in other categories
Data Integration (3rd), Business Process Management (BPM) (7th), Business-to-Business Middleware (3rd), 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 (4th), Product Information Management (PIM) (1st), Data Observability (2nd)
Syniti Data Quality
Ranking in Data Quality
5th
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

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.
GY
A highly stable solution that can be deployed very quickly and easily
You can only see the data and get the error report in SAP Information Steward. So, it is a read-only thing in SAP Information Steward. If you are using Syniti Data Quality, you can see the error and fix it by directly configuring Syniti Data Quality to write back to SAP. Syniti Data Quality allows you to update the source system. In SAP Information Steward, you can't upgrade the source system. You can just see the data and go on to the source system manually by logging in to SAP, and then you have to fix those errors. 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.

Quotes from Members

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

Pros

"I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
"It is quite easy to use and flexible."
"The valuable feature is that we can automate the integration part...It is a stable solution."
"The tool's most valuable feature is bulk upload. We upload files in CSV or Excel format."
"The Mapping Configuration and PowerCenter wizards are valuable. We use them to run our business logic."
"The scalability of the solution is excellent."
"The solution's scalability is high."
"The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"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 major benefits of Syniti Data Quality stem from the productivity and flexibility it offers to users."
"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."
 

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 tools required to migrate existing mappings and server rules through cloud data quality are not available."
"The tool could be improved in terms of ease of use, particularly for those without technical expertise. Understanding and extracting data from the table-based structure requires some SQL knowledge and technical skills. Additionally, while Informatica MDM has moved towards a cloud-based MDM with a UI similar to Reltio, I haven't used it, so I can't comment on its effectiveness."
"I would also like to have profiling functionalities and quality transformations in the cloud."
"Informatica Axon needs to improve its interface."
"I think everything related to the APIs and the manageability of the APIs in Informatica MDM are areas where improvements are required."
"Most of the new features added by Informatica are through Elastic Mapping. It would be helpful to have features like multithreading or partitioning for Salesforce to enhance performance."
"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."
"The loading mechanisms and administration processes, particularly in setting up connections and deploying the system, need improvement."
"It would be good if Syniti Data Quality could integrate more AI in the future."
"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."
"In Syniti Data Quality, data extraction is an area with certain shortcomings where improvements are required."
 

Pricing and Cost Advice

"It's a costly solution"
"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."
"It's an expensive solution."
"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
"Informatica MDM is a costly solution because it comes as a bundle. They are also globally positioning themselves and are definitely working on very upgraded technologies. If someone wanted to do it on the cloud, they have a lot of flexibility because they upgrade themselves according to the current needs. It definitely comes with a lot of features and that's the reason why it's costly. The licensing cost should be approximately one million dollars. It's about four to five times that of other vendors."
"The price is comparable."
"The product is highly-priced."
"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."
"I would rate the pricing a six out of ten, where one is cheap, and ten is expensive."
"The solution is expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
13%
Manufacturing Company
10%
Insurance Company
6%
Manufacturing Company
21%
Computer Software Company
17%
Financial Services Firm
10%
Healthcare Company
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: October 2024.
816,406 professionals have used our research since 2012.