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Ataccama Reference Data Manager [EOL] vs Informatica Intelligent Data Management Cloud (IDMC) comparison

Why PeerSpot?
Ataccama and Informatica are both solutions in the Cloud Data Integration category. Additionally, 100% of Ataccama users are willing to recommend the solution, compared to 92% of Informatica users who would recommend it.
Informatica Intelligent Dat...
Read 215 Informatica Intelligent Data Management Cloud (IDMC) reviews
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  • 5,839 Comparison Views
92% willing to recommend
 

Comparison Buyer's Guide

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Executive Summary
We performed a comparison between Ataccama Reference Data Manager [EOL] and Informatica Intelligent Data Management Cloud (IDMC) based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration.

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Cloud Data Integration
September 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

Ataccama Reference Data Man...
Average Rating
10.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
215
Ranking in other categories
Data Integration (1st), Data Quality (1st), Business Process Management (BPM) (6th), Business-to-Business Middleware (1st), API Management (5th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (2nd), 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)
 

Featured Reviews

it_user69087 - PeerSpot reviewer
it_user69087
Head of Data Analytics at a financial services firm with 5,001-10,000 employees
We evaluated Microsoft master data services – it's nice but far from Ataccama RDM especially in workflow features
We use this system for managing reference data. It’s the most useful system for data warehouse because all data sources have to come from relational database. Unfortunately before Ataccama RDM was installed, some reference code books came from EXCEL, which is definitely an error-prone data source that does not have proper dataflow and quality checks when inputting data. We are using this system also for managing hard-coded logic in ETLs by creating special reference tables and creating workflows to update it in a manageable way. We will use it for managing code book which is currently booked in some systems but doesn’t have sexy features as in Ataccama RDM. This system can simplify data transfer between systems, eliminate extra copies and is different from a time perspective.
Read full review
RC
Raymond Croxford
Contractor at Sanlam
Cloud data catalog has streamlined lineage and quality while leaving more automation to improve
I have not explored IDMC's automation capabilities driven by AI and metadata too much at the moment, but it is on the cards. We are basically creating the foundation, as the whole migration has taken place recently and it is still early days. I think Informatica Intelligent Data Management Cloud (IDMC) is evolving, and as the vendors move forward, they pick up new concepts from each other. I have seen that products leapfrog each other, and from my experience over the years, the big players tend to copy features or add enhancements based on industry trends. I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team. It is difficult to say what additional features I would prefer to see in the next release of IDMC. I would appreciate more automation on the lineage front, with more AI to seamlessly join independent sources and create seamless lineage between different technologies, such as from file into database A into a different database and landing up in a reporting system such as Cognos, Qlik, Qlik Sense, QlikView, or Power BI.
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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

"Really best product for this certain task area – to make reference data is manageable."
"The use case is embedding the data or the business glossary into the day-to-day workflow, for example, integrating it with Tableau so when people are looking at a Tableau report, they understand exactly what the data lineage is, where this data is coming from, and exactly what those business glossary terms mean so they can more accurately interpret and analyze the report."
"MDM is very stable - it can handle millions of hits daily and still run 24/7."
"The product improves data quality."
"I was responsible for installing Informatica Cloud Data Quality on Google infrastructure, which was straightforward."
"The most valuable feature is the rule specification."
"The fuzzy matching capability is a great feature."
"Informatica MDM is one of the best in the market in the master data management area."
"Informatica Intelligent Cloud Services allows us to manage the entire data lifecycle in the insurance domain, supporting microservices architecture and leveraging AI and machine learning for data discovery, quality, and integration."
More Informatica Intelligent Data Management Cloud (IDMC) pros
 

Cons

"Creation process of services for on-line validation data (special services which are able to be used by another system) is too complicated."
"This solution is hard to set up and its interface is not user-friendly. It's also not as stable, and the technical support takes a lot of time to solve simple problems."
"Informatica MDM has a complex user interface, which could be improved."
"One thing Informatica could improve is the way IPUs are used. Each customer purchases a certain amount of IPUs per month, but you can use more or less than that defined quantity. The only problem is if you don't use the all your IPUs, they don't carry over into the next month. I think customers should have the ability to transfer unused IPUs into the next month or year. This improvement could help give customers more flexibility, especially since cloud solutions need flexibility in how we use and pay for them."
"Metadata querying is right now not there in Informatica Cloud Data Integration."
"Informatica Enterprise Data Catalog is hard to set up, so this is an area for improvement, e.g. it would be good if they make it easier to set up, because the project was made 80% of the time of the setup."
"Informatica Axon needs more integration connectors so that it can connect to systems and different kinds of datasets."
"The downside of this solution is that the UI is terrible and not user-friendly."
"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."
More Informatica Intelligent Data Management Cloud (IDMC) cons
 

Pricing and Cost Advice

Information not available
"In terms of the licensing for Informatica Intelligent Cloud Services, we had the option of paying based on the number of users and paying based on the volume of data, and we went with the data volume licensing option. Informatica Intelligent Cloud Services isn't as expensive as CIG. The pricing for it is okay, so I'm rating it a four out of five in terms of pricing. We did use the email verification and address validation services which weren't part of the contract, so we had to pay additional fees for those services."
"It's a costly solution"
"The pricing model is something that can be improved."
"The price is comparable."
"It is an expensive solution. I would say it is the most expensive solution in the market."
"We pay for a yearly subscription."
"The price is high, but the competitors are even higher, like Collibra."
"The price is very high and has become a big concern for our customers who require the solution in order for their business to function smoothly."
More Informatica Intelligent Data Management Cloud (IDMC) pricing and cost advice
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
12%
Manufacturing Company
10%
Outsourcing Company
9%
Construction Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise155
 

Questions from the Community

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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
Master Data Management (MDM) Software
September 2026
Ataccama Reference Data Manager [EOL] reportDownload Ataccama Reference Data Manager [EOL] product report
Buyer's Guide
Informatica Intelligent Data Management Cloud (IDMC)
September 2026
Informatica Intelligent Data Management Cloud (IDMC) reportDownload Informatica Intelligent Data Management Cloud (IDMC) product report
 

Also Known As

Reference Data Manager
ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
 

Overview

Reference Data Manager (RDM) enables you to maintain a consistent representation of reference data across all departments and databases in your organization. This user friendly web-based application provides the flexibility and workflow functionality needed to create a company-wide reference data environment that is not only secure and powerful, but easy to use as well.
Ataccama

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
 

Sample Customers

Bank of Montreal
The Travel Company, Carbonite
Buyer's Guide
Cloud Data Integration
September 2026
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