Ataccama Reference Data Manager [EOL] vs Azure Data Factory comparison

The compared Ataccama and Microsoft solutions aren't in the same category. Microsoft is ranked #5 in DI , with an average rating of 8.1, and holds a 2.3% mindshare. Additionally, 100% of Ataccama users are willing to recommend the solution, compared to 92% of Microsoft users who would recommend it.

Ataccama Reference Data Man...

Read 1 Ataccama Reference Data Manager [EOL] review

100% willing to recommend

Azure Data Factory

Read 96 Azure Data Factory reviews

13,392 Views
9,240 Comparison Views

92% willing to recommend

Ataccama Reference Data Man...

Azure Data Factory

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Executive Summary

We performed a comparison between Ataccama Reference Data Manager [EOL] and Azure Data Factory based on real PeerSpot user reviews.

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Master Data Management (MDM) Software

June 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

Ranking in other categories

No ranking in other categories

Azure Data Factory

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Integration (5th), Cloud Data Warehouse (7th)

Featured Reviews

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.

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KandaswamyMuthukrishnan

Director at a computer software company with 1,001-5,000 employees

Integrates diverse data sources and streamlines ETL processes effectively

Regarding potential areas of improvement for Azure Data Factory, there is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration. Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters. I am satisfied with Azure Data Factory so far, but I suggest integrating some AI functionality to analyze data during the transition itself, providing insights such as null records, common records, and duplicates without running a separate pipeline or job. The monitoring tools in Azure Data Factory are helpful for optimizing data pipelines; while the current feature is adequate, they can improve by creating a live dashboard to see the online process, including how much percentage has been completed, which will be very helpful for people who are monitoring the pipeline.

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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 user interface is very good. It makes me feel very comfortable when I am using the tool."

"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."

"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."

"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."

"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."

"I value the integration capabilities with other platforms and software in Azure Data Factory the most."

"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."

"It is a complete ETL Solution."

More Azure Data Factory 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."

"The Microsoft documentation is too complicated."

"The pricing scheme is very complex and difficult to understand."

"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."

"Azure Data Factory's pricing in terms of utilization could be improved."

"As far as customer service and support with Azure Data Factory, we are not always satisfied with the response time."

"Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically."

"The thing we missed most was data update, but this is now available as of two weeks ago."

"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."

More Azure Data Factory cons

Pricing and Cost Advice

Information not available

"The pricing is a bit on the higher end."

"Pricing is comparable, it's somewhere in the middle."

"I don't see a cost; it appears to be included in general support."

"The pricing model is based on usage and is not cheap."

"The price is fair."

"The cost is based on the amount of data sets that we are ingesting."

"I would rate Data Factory's pricing nine out of ten."

"ADF is cheaper compared to AWS."

More Azure Data Factory pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

12%

Computer Software Company

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	21
Large Enterprise	63

Questions from the Community

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How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

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How does Azure Data Factory compare with Informatica PowerCenter?

Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...

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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...

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Comparisons

TIBCO EBX vs Ataccama Reference Data Manager [EOL]

Compared 40% of the time

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

Compared 38% of the time

SAP Master Data Governance vs Ataccama Reference Data Manager [EOL]

Compared 22% of the time

More Ataccama Reference Data Manager [EOL] Competitors

Snowflake vs Azure Data Factory

Compared 5% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 4% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 3% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

Product Reports

Buyer's Guide

Master Data Management (MDM) Software

June 2026

Ataccama Reference Data Manager [EOL] report

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Buyer's Guide

Azure Data Factory

June 2026

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Also Known As

Reference Data Manager

No data available

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

Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

Microsoft

Sample Customers

Bank of Montreal

1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa

Buyer's Guide

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June 2026

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