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

Why PeerSpot?

The compared Ataccama and Microsoft solutions aren't in the same category. Microsoft is ranked #6 in DI , with an average rating of 8.0, and holds a 2.2% 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 97 Azure Data Factory reviews

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10,725 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.

Find out what your peers are saying about TIBCO, Qlik, SAP and others in Master Data Management (MDM) Software.

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Master Data Management (MDM) Software

October 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 (6th), Cloud Data Warehouse (6th)

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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Kunal Das

Test Engineer at Happiest Minds Technologies

Drag-and-drop pipelines have saved days of work and now automate data movement and backfilling

If the AI features were more improved so that I don't have to provide each and every detail, Azure Data Factory could be improved in a much better way by improving the AI features. For example, if I want to fetch any data from a raw source, I need to provide each and every detail. But if I am just uploading my raw data and if AI will sync with that data, it can analyze that data and give me proper suggestions on how that should be done in a proper way. Automatic suggestions could improve in a much better way. As I have mentioned, the AI features as well as more drag-and-drop activities could be improved. If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity. If I have used one activity, I shouldn't have to remember what activity should I use next. It should give auto-suggestions. That is why I have given a nine out of 10. Currently, I don't know about its governance and security, but in view of its improvement, I think Azure Data Factory should improve in these areas. As I already mentioned, the AI features should be improved. Also, the auto-suggestion features should also improve.

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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."

"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."

"The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with."

"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."

"The platform excels in data transformation with its user-friendly interface and robust monitoring capabilities, making ETL processes seamless."

"The solution has a good interface and the integration with GitHub is very useful."

"Azure Data Factory is a good tool."

"What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."

"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."

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 tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."

"Lacks in-built streaming data processing."

"The deployment should be easier."

"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."

"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."

"The performance and stability are touch and go."

"Technical support isn't the best, as it's a bit delayed at times. Whenever we need some urgent support, wherein we have to restart or something has stuck, it takes a bit of time."

"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."

More Azure Data Factory cons

Pricing and Cost Advice

Information not available

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

"Understanding the pricing model for Data Factory is quite complex."

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."

"Data Factory is affordable."

"It's not particularly expensive."

"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."

"The solution's pricing is competitive."

"Product is priced at the market standard."

More Azure Data Factory pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

11%

Manufacturing Company

10%

Outsourcing 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	64

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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Denodo vs Ataccama Reference Data Manager [EOL]

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Profisee vs Ataccama Reference Data Manager [EOL]

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Compared 4% of the time

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Compared 4% of the time

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

Compared 3% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

SnapLogic vs Azure Data Factory

Compared 3% of the time

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Product Reports

Buyer's Guide

Master Data Management (MDM) Software

October 2026

Ataccama Reference Data Manager [EOL] report

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Buyer's Guide

Azure Data Factory

October 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

Master Data Management (MDM) Software

October 2026

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