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

Informatica and Syniti are both solutions in the Data Quality category. Informatica is ranked #1 with an average rating of 8.0, while Syniti is ranked #10. Informatica holds a 10.6% mindshare in DQ, compared to Syniti’s 3.8% mindshare. Additionally, 92% of Informatica users are willing to recommend the solution, compared to 100% of Syniti users who would recommend it.

Informatica Intelligent Dat...

Read 214 Informatica Intelligent Data Management Cloud (IDMC) reviews

21,813 Views
2,399 Comparison Views

92% willing to recommend

Syniti Data Quality

Read 4 Syniti Data Quality reviews

998 Views
998 Comparison Views

100% willing to recommend

Informatica Intelligent Dat...

Syniti Data Quality

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Executive SummaryUpdated on Dec 11, 2025

Informatica Intelligent Data Management Cloud and Syniti Data Quality compete in the data management category. Informatica IDMC has the upper hand with its comprehensive features and integration capabilities, but Syniti excels in data quality management.

Features: Informatica IDMC is recognized for its strong integration skills, scalability, and diverse data transformation capabilities, making it suitable for end-to-end data lifecycle management. Syniti focuses on data deduplication, cleansing, and enrichment, providing robust data governance and compliance tools.

Ease of Deployment and Customer Service: Informatica IDMC offers a flexible cloud-based deployment with comprehensive documentation and support, suitable for various enterprise environments. Syniti has an intuitive deployment process emphasizing ease of use and personalized support for tailored assistance needs.

Pricing and ROI: Informatica IDMC involves a higher setup cost but delivers strong ROI through its extensive functionalities and scalability. Syniti offers a more moderate entry cost, providing favorable ROI particularly for data accuracy and governance, focusing on specific niche areas of data quality.

To learn more, read our detailed Informatica Intelligent Data Management Cloud (IDMC) vs. Syniti Data Quality Report (Updated: December 2025).

Buyer's Guide

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

December 2025

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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

214

Ranking in other categories

Data Integration (2nd), Business Process Management (BPM) (7th), Business-to-Business Middleware (3rd), API Management (6th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (1st), Metadata Management (1st), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (1st), AI Data Analysis (1st)

Syniti Data Quality

Ranking in Data Quality

10th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 10.6%, down from 20.0% compared to the previous year. The mindshare of Syniti Data Quality is 3.8%, down from 11.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Market Share Distribution
Product	Market Share (%)
Informatica Intelligent Data Management Cloud (IDMC)	10.6%
Syniti Data Quality	3.8%
Other	85.6%

Data Quality

Featured Reviews

Divya-Raj

Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte

Handles large data volumes effectively and offers competitive pricing

There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.

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Raj AB

Delivery Head at ApikinFotech

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.

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Quotes from Members

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

Pros

"Initial setup was fairly easy."

"We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors."

"The solution provides increased efficiency while still being user-friendly and easy to operate."

"It allows the creation of identical tasks that can be applied across multiple tables, ranging from 100 to even 1,000 tables."

"It is a very stable solution. I rate its stability a ten out of ten...It is a scalable solution...Informatica Axon's technical support is good."

"The solution has multiple valuable features for metadata collection"

"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 features I find most valuable is the synchronization, verification, functionalities and all the data integration features."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"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."

"The major benefits of Syniti Data Quality stem from the productivity and flexibility it offers to users."

Cons

"Managing the licenses with the on-premises version was difficult."

"The main issue probably has nothing to do with end users, but installation can definitely be simplified."

"Informatica Cloud Data Integration could improve the price by making it less expensive."

"The GUI needs to be a little more user-friendly and appealing."

"The vendor should have more training resources: online classes, free tutorial videos, etc."

"Its features for partitioning and optimization could be better."

"Informatica Cloud Data Quality has significant room for improvement. It is not stable, and there are several issues, especially on the cloud side, unlike the on-premise version which was very stable."

"The current features are a bit complicated, and we need to write big scripts and test."

More Informatica Intelligent Data Management Cloud (IDMC) cons

"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."

"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

"Informatica is very expensive."

"I rate the product's pricing a nine on a scale of one to ten, where one is low price, and ten is high price."

"The price is high, but the competitors are even higher, like Collibra."

"Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."

"It's offers value for money. They're more competitive with respect to pricing and offerings."

"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."

"The product is very expensive"

"I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."

More Informatica Intelligent Data Management Cloud (IDMC) pricing and cost advice

"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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881,082 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

11%

Computer Software Company

Retailer

Manufacturing Company

17%

Financial Services Firm

10%

Retailer

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	51
Midsize Enterprise	27
Large Enterprise	153

No data available

Questions from the Community

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

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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...

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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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Comparisons

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Compared 2% of the time

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Compared 2% of the time

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Compared 57% of the time

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Compared 11% of the time

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Compared 9% of the time

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Compared 5% of the time

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Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

January 2026

Informatica Intelligent Data Management Cloud (IDMC) report

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Buyer's Guide

Data Quality

January 2026

Download Syniti Data Quality product report

Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking

Syniti DQ

Overview

Informatica Intelligent Data Management Cloud (IDMC) offers seamless integration of master data management, data quality, and data integration with a cloud-native architecture supporting multiple data management styles, optimizing data governance through metadata management.

IDMC enhances data synchronization and mapping tasks, utilizing a broad range of connectors to interact efficiently with data sources. Its precise address validation via AddressDoctor and intuitive navigation bolster user empowerment, delivering agility, scalability, and security in data governance. Despite its strengths, areas like ease of use, SAP integration, and reporting could benefit from enhancements. Connectivity issues and workflow complexities are noted, needing improvements in performance, support, and licensing cost. Users demand expanded ETL capabilities, real-time processing, and broader data source support to address growing data needs.

What are the key features of IDMC?

Integration Capabilities: Ensures seamless connectivity between on-premise and cloud environments.
Master Data Management: Centralizes and streamlines data processes for enhanced quality.
Data Quality: Employs tools for cleansing and standardizing data accuracy.
Address Validation: Features AddressDoctor for precise address verification.
Real-Time Processing: Supports real-time data handling for critical operations.
Connectivity Options: Offers a wide array of connectors for easy data source interaction.

What benefits and ROI should users consider?

Scalability: Cloud-native design boosts system agility, adapting to data volume changes.
Security: Enhances data protection with robust encryption and compliance measures.
Efficiency: Automates processes to reduce manual effort and errors.
Flexibility: Supports diverse data management styles, offering adaptability to business changes.
Governance: Empowers effective data governance through comprehensive metadata management.

In industries such as banking, healthcare, and telecom, IDMC is implemented for data integration, cloud migration, and enhancing data quality. Its capabilities are crucial for metadata management, lineage tracking, and real-time processing, ensuring high data quality and streamlined operations.

Informatica

Data quality management solutions from Syniti provide a simplified and cost-effective approach. They create a closed-loop remediation process owned by business users that monitors and accurately remediates data that violates your standards for data quality.

Syniti

Sample Customers

The Travel Company, Carbonite

Kraft Foods, Puget Sound Energy

Buyer's Guide

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

December 2025

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