Informatica Intelligent Data Management Cloud (IDMC) vs Profisee comparison

Informatica Intelligent Dat...

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Executive Summary

We performed a comparison between Informatica Intelligent Data Management Cloud (IDMC) and Profisee based on real PeerSpot user reviews.

Find out in this report how the two Cloud Master Data Management (MDM) Solutions solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Informatica Intelligent Data Management Cloud (IDMC) vs. Profisee Report (Updated: September 2024).

Informatica Intelligent Data Management Cloud (IDMC) vs. Profisee

September 2024

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Categories and Ranking

Informatica Intelligent Dat...

Ranking in Cloud Master Data Management (MDM) Solutions

1st

Average Rating

7.8

Number of Reviews

180

Ranking in other categories

Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (5th), Business-to-Business Middleware (3rd), API Management (8th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)

Profisee

Ranking in Cloud Master Data Management (MDM) Solutions

4th

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Raja ShahnawazSoni

Data Architect at a retailer with 10,001+ employees

Feb 26, 2024

Consolidates customer data from disparate sources like accounting, ER systems, and more and establishes clear guidelines for data quality and consistency within the organization

First and foremost, data profiling is a very important aspect, because it allows me to understand the state of the data from the different source systems and applications I'm going to pull into MDM. This is crucial, as it helps me understand the existing data landscape. Next, Informatica MDM allows you to perform fuzzy matching. Like the example of Raja S and Raja Soni mentioned above. With fuzzy matching, I can define a threshold, and the system will let me know whether these two records are the same or not. This is where I think MDM shines - with its strong fuzzy matching algorithm. This is the essence of Informatica MDM. Based on these results, I can write our match conditions and then perform the corresponding data management activities. When it comes to how data is governed - how accurate it is, what's missing, and what's not. There are other Informatica tools involved: Informatica Enterprise Data Catalog (EDC) and Informatica Axon, which is specifically a governance tool. With these tools, users can understand data quality. Data quality, Informatica EDC, and Axon work together - they "talk" to each other. The moment Axon identifies that data is bad, incomplete, incorrect, or whatever, the governance tool allows you to monitor all of these things and feed them back into the organization. For example, if someone within the organization is using the governance tool, which is connected to data quality, they might realize: "This particular source isn't giving me certain information, like city data. But I need city information for my XYZ data usage. So, I should focus on another data source or application where customer cities are available." Based on this, data governance can be implemented, and workflows can be established. MDM also provides workflows. When records come in or if a customer wants to update a record directly in MDM, different personas can be defined. A workflow would then be triggered, and someone could review the data being fed through these forms or sources. They might reject or accept it based on predefined criteria. This is how data entering MDM is governed, ensuring everything is correct and meets organizational standards.

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reviewer1323582

Independent Software Consultant at a tech services company with 11-50 employees

Nov 22, 2020

Great ability to support workflows, excellent out-of-the-box usability, and very good documentation

Profisee needs to better highlight data profiling. At least when I was using this a year ago, the features for data profiling were buried. In other words, they don't pull it out as a key feature, and it really should be. Often, that whole life cycle phase is overlooked, the data profiling aspect. One of the strengths, like being able to utilize the SQL server toolkit and it's tight integration with SQL server, can be a disadvantage too, as there are some things that they pushed down to the database that makes it difficult when trying to figure out where and how you achieve that functionality. It's buried in the database functionality or in one of the database tools for SQL Server. They need to make it more clear and bring it out more effectively. If you were to compare it to Informatica, that's where Informatica does a really good job in their tool suite. They've got their whole platform and each one of the tools, they spell out exactly what they do. Even though there is some overlap in functionality, you know what the best practice is and where to do what. The way training is laid out in their Profisee University, makes it really, really hard to find what you need fast. They'll have these one-hour long video clips and you need to fast forward or rewind to find the actual useful details. There's an index that allows you to just jump to the correct information. That is very frustrating as a developer that needs the information. You can't find the information fast for support at all. They need to be able to articulate their training into something that is searchable. Online training that is text-based and not just buried in a super-long video. A product like SUMADI is a great example of training done right. When I left that client, I really wanted them to put more emphasis on profiling. I'd have to go back out there to their website and see if they actually have anything of that nature. It wasn't obvious to me, even their best practices with profiling. In Informatica, profiling isn't overlooked at all. In Profisee, it seems it might have been. I'd like more emphasis placed on the tool if possible.

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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

"It's got a reputation in the industry as one of the best solutions for master data management. So, it's what we see in the Gartner top right quadrant as the best product in that space."

"The product is stable."

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

"I am impressed by the solution's interface."

"The dictionary, the search, and the ratings are without a doubt the most beneficial components of this solution."

"Informatica provides a comprehensive solution for on-the-fly or real-time data masking."

"Replication allows us to fully replicate all objects from Shop Floor Data Collection (SFDC) to in-house/on-premises database in one job."

"The ability to clean out data and improve the data quality is the best feature."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"We really like the matching and merging features."

"The process of categorizing data, creating glossaries, and generating metadata is streamlined and less time-consuming."

"The product is able to utilize the SQL server toolkit and it has tight integration with the SQL server."

"The most valuable features for ensuring data accuracy and quality are mappings and creating business rules."

Cons

"There are a small number of UI bugs that occur on occasion."

"Connectivity could be improved, it can be a little slow."

"Once the data is masked, we won't be able to reverse it back to its original value."

"Data integration should be improved."

"The ability of the product to leverage the power of big data could be improved."

"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."

"They have to improve their relationship discovery tool. They say that they have AI inside, but this AI did not automatically find relationships or suggested relationships between entities."

"The biggest challenge I see is the IDE's for the cloud and automization are different."

More Informatica Intelligent Data Management Cloud (IDMC) cons

"A more convenient approach would involve integrating all the pre-existing elements into Profisee itself."

"The way training is laid out in their Profisee University, makes it really, really hard to find what you need fast."

"Profisee could improve in providing clearer data lineage information."

"When we updated to version 7.1, there were some workflow issues."

Pricing and Cost Advice

"Informatica MDM's pricetag should come down. They have to cut some costs."

"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."

"The price is comparable."

"The licensing price of the product depends on the organization's requirements."

"It's a very expensive solution"

"The pricing is high compared to other tools on the market."

"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."

"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."

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

"The pricing is moderate, falling in the middle range—not excessively low nor overly expensive."

"We didn't come across any additional licensing fees."

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Use our free recommendation engine to learn which Cloud Master Data Management (MDM) Solutions solutions are best for your needs.

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Answers from the Community

Richard Tibbetts

Information Architect at Canadian Food Inspection Agency

Feb 7, 2022

How does Microsoft MDS (vs Informatica MDM) fit with Azure architecture?

2 out of 3 answers

InitZero

Enterprise MDM Architect / Solution Arch at Volvo Group

Jan 14, 2022

Hi @Richard Tibbetts, There's no short answer to your question. Nearly all existing MDM solutions on the market offer a broad range of patterns to ingest master data from various sources and distribute cleanse and consolidated information, also to the Azure stack. Many vendors offer prebuilt connectors for the most common sources (databases, various file types, storages, business applications including MS Dynamics, Salesforce, etc.), but also support a generic way of ingesting/exposing data via Rest APIs, file drops, etc. MS MDS is an extension of the MS SQL server 2016. I don't know Microsoft plans to extend it, but I know that Profisee and CluedIn are very active in promoting their solutions as-built having Azure in mind and being a part of the stack. Informatica MDM has three types of offerings these days: on-prem, hosted MDM, and cloud-native option - they differ in the functionality and integration options. Obviously, there are many more MDM tools on the market particularly good in various data domains (products, customers/suppliers - so yours, multi-domain, etc). I think that you should start your MDM journey by answering which current challenges you try to solve or what new capabilities you need to enable to the organisation. Once these questions are answered and based on your organization's Enterprise Architecture principles, look for the best fitting tool. It may (or may not) be the one that fits the best into the Azure Reference Architecture. I hope this helped.

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GaryM

Data Architect at World Vision

Feb 4, 2022

I agree with @InitZero... I would add that there's no future roadmap for MDS and they don't have an Azure solution for it. Since it's a free product with an SQL license, don't expect Microsoft to invest in it. Even though we are highly dependent upon it currently I'm starting to look towards the future where we need to find a replacement - hopefully, a PaaS solution. It would be great if Microsoft came out with something in Azure but I'm not hopeful at this point.

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

13%

Manufacturing Company

10%

Insurance Company

Financial Services Firm

13%

Computer Software Company

13%

Healthcare Company

11%

Manufacturing Company

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 Profisee?

The most valuable features for ensuring data accuracy and quality are mappings and creating business rules.

What is your experience regarding pricing and costs for Profisee?

The pricing is moderate, falling in the middle range—not excessively low nor overly expensive. I would rate it five out of ten. It is reasonably priced for medium-sized optimization needs and is su...

What needs improvement with Profisee?

Profisee could improve in providing clearer data lineage information. Currently, I find it easier to gather this from Purview rather than Profisee. However, I haven't fully explored all of Profisee...

Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC)

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Compared 13% of the time

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Product Reports

Informatica Intelligent Data Management Cloud (IDMC)

September 2024

Informatica Intelligent Data Management Cloud (IDMC) report

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Download Profisee product report

August 2024

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

No data available

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Informatica

Overview

Informatica Intelligent Data Management Cloud (IDMC) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.

IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and regulatory compliance. Its intuitive interface, flexible features, and robust tools make it valuable across sectors, though enhancements in data integration and human workflow are being sought.

What are the most important features?

Data discovery: Facilitates identifying and understanding data sources.
Data profiling: Analyzes old databases for data quality.
Data and platform masking: Ensures data protection.
Salesforce integration: Seamless connectivity with Salesforce.
Mastering data: Centralizing and standardizing data.
UI intuitiveness: User-friendly interface.
Feature map flexibility: Adapts to user needs.
Business glossary creation: Defines business terms.
Data lineage: Tracks data flow and transformations.
Automation: Streamlines data processes.
Enterprise data cataloging: Organizes extensive data assets.
Scalability: Supports expanding data requirements.
Easy setup: Quick deployment process.
Bulk upload: Efficiently handles large data volumes.
Customizable data management: Tailors data solutions.
Real-time data streaming: Manages live data streams.
Integration with Hadoop and NoSQL: Connects with big data platforms.

What benefits and ROI should be considered?

Regulatory compliance: Ensures adherence to regulations.
Data protection: Safeguards sensitive information.
Enhanced data quality: Improves accuracy and reliability.
Centralized data: Consolidates data for better management.
Process automation: Reduces manual tasks and errors.

Banks and financial institutions use IDMC for data masking, transformation, and compliance, while health sector organizations leverage it for national product catalogs. Industry applications focus on automating business processes, centralizing data, and managing data catalogs to meet regulatory demands and ensure data protection.

The Profisee Platform is a full featured enterprise master data management solution designed to provide the lowest total cost of ownership of any competitive solution, without sacrificing on functionality across all major components of an MDM platform. The Profisee Platform was designed from the ground up as a multi-domain platform, to model and manage virtually any master data domain or reference data set. With a focus on the business, Profisee provides the first MDM solution that is truly approachable and affordable for business data stewards.

Sample Customers

The Travel Company, Carbonite

NASDAQ, Rockwell Automation, ITT Industries, EY (Ernst & Young), Domino's, L3 Communications, Anheuser Busch, MD Anderson Cancer Center, Ameriprise Financial, GSO Capital Partners