Informatica Intelligent Data Management Cloud (IDMC) vs MANTA Flow comparison

Informatica and Manta are both solutions in the Data Governance category. Informatica is ranked #3 with an average rating of 8.0, while Manta is ranked #34. Informatica holds a 4.9% mindshare in DG, compared to Manta’s 0.8% mindshare. Additionally, 92% of Informatica users are willing to recommend the solution, compared to 100% of Manta users who would recommend it.

Informatica Intelligent Dat...

Read 214 Informatica Intelligent Data Management Cloud (IDMC) reviews

22,811 Views
4,334 Comparison Views

92% willing to recommend

MANTA Flow

Read 2 MANTA Flow reviews

477 Views
477 Comparison Views

100% willing to recommend

Informatica Intelligent Dat...

MANTA Flow

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Executive SummaryUpdated on Dec 11, 2025

Informatica Intelligent Data Management Cloud and MANTA Flow compete in the data management and data lineage domain. MANTA Flow has an edge in regulated industries due to its specialized functionality.

Features: IDMC provides data integration, data quality tools, and governance strategies that benefit complex environments. MANTA Flow focuses on automated data lineage, impact analysis, and data processing insights suitable for data traceability.

Ease of Deployment and Customer Service: MANTA Flow is straightforward to deploy across platforms, with attentive support. IDMC offers extensive customer service options but may need more effort during initial setup due to its comprehensive nature.

Pricing and ROI: IDMC demands a significant initial investment with high returns through features supporting business growth. MANTA Flow involves setup costs while offering compelling ROI in data-sensitive sectors prioritizing lineage precision.

To learn more, read our detailed Informatica Intelligent Data Management Cloud (IDMC) vs. MANTA Flow Report (Updated: February 2026).

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC) vs. MANTA Flow

February 2026

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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 Governance

3rd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

214

Ranking in other categories

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

MANTA Flow

Ranking in Data Governance

34th

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Data Governance category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 4.9%, down from 8.1% compared to the previous year. The mindshare of MANTA Flow is 0.8%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Market Share Distribution
Product	Market Share (%)
Informatica Intelligent Data Management Cloud (IDMC)	4.9%
MANTA Flow	0.8%
Other	94.3%

Data Governance

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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LeandroSodré

Data Governance Analyst at Data Meaning, Inc.

Very Powerful, with cloud based scalability, and highly efficient for both business and technical teams

I had some difficulties, trying to use the direct link which is metadata through files that you can upload to MANTA Flow and you can just say from there where that data is going. But we just figured out that sometimes, depending on the level of the granularity that if you want to link the object, you can not. For example, if you want to link the objects just by schema, sometimes it does not work. So you need to scroll down and link each table. Sometimes the table level does not work, and you need to go deeper and go to link column to column. We figured out that this was a bug in MANTA Flow, and we talked to them and I think they were fixing it. But in our case, we just realized that if we could link the objects at the lowest level possible, it would work. I was trying to develop, right now, some kind of automation to compare the listed revision that I have in MANTA Flow with some other revision. And I would like to do it in an automatic way. I would like to have some kind of API where I could call this object and the revision that I want and the same object and another revision that I wanted to compare with. And I could not see it as some API in MANTA Flow, and we have this feature on the user interface. I think it would be very powerful because if you want to automate just warn the data owners the structures were updated by looking at the object level, and send an email to these owners to see if that change makes sense.

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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

"Data synchronization tasks."

"Performance and flexibility-wise, they're very user-friendly."

"We had a bad experience before Informatica Cloud Data Quality, we started a data analytics project that took more than three months of wasted time because we couldn't use the data to create the optimization model."

"The product is scalable and excellent for enterprise-level organizations."

"It is a very stable solution...It is a scalable solution."

"It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten."

"Data integration is the most valuable feature. The ability to connect to any of the sources and enterprise applications makes our lives easier."

"The valuable feature is that we can automate the integration part...It is a stable solution."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"I believe it is very powerful. And for technicians, you can see the impact analysis, you can compare versions. So you can see some revisions against some of the oldest ones. You can compare and see which pipelines were updated between them. I think it is very helpful to both sides, the technical and business teams."

"The solution is stable. We have not found any fatal errors yet."

Cons

"Certain shortcomings in the product's UI make it an area where improvements are required."

"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 solution should improve its integration."

"Informatica MDM could improve the interdependency with integration. The solution sometimes becomes a bit difficult to change considering a lot of interdependency with the integration. There can be some improvement in the workflows and they can introduce more artificial intelligence."

"The configurations could be better. It is a bit confusing because we must develop two tools when building a data model in Informatica MDM. Even though Informatica MDM is a single tool, we have our hub console plus the provisioning tool within that. Whatever data model we are building in the hub console, we have to develop it in the provisioning tool again. It is double the work to create a data model. We are also using external calls or the Java custom plans functions. This can be both positive and negative. Since MDM as a client does not support any complex validation, we have to depend on the external call or a Java call. Every time we deployed, the entire solution was impacted if something went wrong."

"I definitely will not recommend Informatica Cloud Data Quality because it's very hard to manage the licensing model and the price is very high."

"The configuration process is pretty lengthy and challenging and could be made easier to understand."

"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."

More Informatica Intelligent Data Management Cloud (IDMC) cons

"One area of improvement for MANTA Flow is to add as many new data sources as possible. We have found that maybe they can support 100, but not 101, unfortunately."

"I would like to have some kind of API where I could call this object and the revision that I want and the same object and another revision that I wanted to compare with. And I could not see it as some API in MANTA Flow, and we have this feature on the user interface."

Pricing and Cost Advice

"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."

"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."

"It's a costly solution"

"The price is comparable."

"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."

"A yearly subscription is paid based on the number of people using the solution. Price-wise, it falls under the medium range since it is neither very costly nor too cheap."

"The product is very expensive"

"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."

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

"As a service company, we don't care about the price because the customer is paying, but the customers consider MANTA to be reasonable."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

10%

Computer Software Company

Retailer

Financial Services Firm

41%

Insurance Company

10%

Manufacturing Company

Computer Software 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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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 Governance

January 2026

Download MANTA Flow product report

Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking

No data available

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 Lineage Done Right
MANTA’s unified lineage platform maps all information flows to give you a complete overview of your data pipeline. Save money on manual labor by automating data lineage discovery; keep your data pipeline healthy by preventing data incidents; and migrate painlessly to the cloud.

Manta

Sample Customers

The Travel Company, Carbonite

Information Not Available

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC) vs. MANTA Flow

February 2026

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