Azure Data Factory vs DBamp comparison

Why PeerSpot?

Microsoft and CData Software are both solutions in the Data Integration category. Microsoft is ranked #5 with an average rating of 8.0, while CData Software is ranked #51 with an average rating of 8.0. Microsoft holds a 2.2% mindshare in DI, compared to CData Software’s 0.4% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of CData Software users who would recommend it.

Azure Data Factory

Read 97 Azure Data Factory reviews

14,793 Views
10,207 Comparison Views

92% willing to recommend

DBamp

Read 1 DBamp review

1,105 Views
1,050 Comparison Views

100% willing to recommend

Azure Data Factory

DBamp

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Azure Data Factory and DBamp based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, Palantir, Microsoft and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: September 2026).

Buyer's Guide

Data Integration

September 2026

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Helped 914,262 peers since 2012

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

Azure Data Factory

Ranking in Data Integration

5th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (7th)

DBamp

Ranking in Data Integration

51st

Average Rating

8.0

Reviews Sentiment

8.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.2%, down from 5.5% compared to the previous year. The mindshare of DBamp is 0.4%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.2%
DBamp	0.4%
Other	97.4%

Data Integration

Featured Reviews

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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reviewer2542599

Lead Database Administrator at a insurance company with 201-500 employees

Integration with existing tools enhances data handling capabilities

DBM allows integration with SQL Server, which is beneficial for Microsoft. While we are only downloading at the moment, we have tested some uploads, and the performance seems better than Data Loader, though it is more complicated. Both products use recommended security protocols, and we don't worry about their security.

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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 is easy to deploy workflows and schedule jobs."

"The most valuable features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."

"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."

"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."

"Azure Data Factory was not difficult to deploy because it is a small area, so we completed it very quickly."

"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."

"The most valuable part of this product is the ease of use, as it is easy to use and rather intuitive, and because it is easy to use, you can do things with it easily, making your work easier and therefore more valuable."

"I like that it's a monolithic data platform. This is why we propose these solutions."

More Azure Data Factory pros

"Their support is good, very responsive despite being overseas."

"DBM allows integration with SQL Server, which is beneficial for Microsoft."

Cons

"It would be helpful if they could adjust the data capture feature so that when there are source-side changes ADF could automatically figure it out."

"Lacks a decent UI that would give us a view of the kinds of requests that come in."

"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."

"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."

"If the user interface was more user friendly and there was better error feedback, it would be helpful."

"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."

"Customer service is not satisfactory. Third-party personnel handle support and rely on a knowledge repository."

"The product integration with advanced coding options could cater to users needing more customization."

More Azure Data Factory cons

"DBM is a bit more complicated when compared to DataLoader, especially for more complex operations."

Pricing and Cost Advice

"Pricing appears to be reasonable in my opinion."

"I would not say that this product is overly expensive."

"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."

"The solution's pricing is competitive."

"Azure Data Factory gives better value for the price than other solutions such as Informatica."

"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."

"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."

More Azure Data Factory pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Manufacturing Company

Computer Software Company

Construction Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	21
Large Enterprise	64

No data available

Questions from the Community

How do you select the right cloud ETL tool?

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

See all answers

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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What is your experience regarding pricing and costs for DBamp?

There is a charge, but it is not a huge charge. It is definitely cost-effective for what is received from it.

See all answers

What needs improvement with DBamp?

DBM is a bit more complicated when compared to DataLoader, especially for more complex operations. While DataLoader allows mapping, with DBM, everything must be done manually, which increases compl...

See all answers

What is your primary use case for DBamp?

We are using DBM for uploading. Currently, we are using it to download. However, we want to use it for uploading, however, it is more complicated, so we have not achieved that yet.

See all answers

Comparisons

Snowflake vs Azure Data Factory

Compared 4% of the time

Databricks vs Azure Data Factory

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

More Azure Data Factory Competitors

Dataloader.io vs DBamp

Compared 29% of the time

MuleSoft Anypoint Platform vs DBamp

Compared 13% of the time

Jitterbit Harmony vs DBamp

Compared 8% of the time

CONNX Data Virtualization vs DBamp

Compared 8% of the time

SSIS vs DBamp

Compared 7% of the time

More DBamp Competitors

Product Reports

Buyer's Guide

Azure Data Factory

September 2026

Download Azure Data Factory product report

Buyer's Guide

Data Integration

September 2026

Download DBamp product report

Overview

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

DBamp is a versatile tool that simplifies Salesforce data integration directly within SQL Server, providing seamless access to Salesforce data with the ease of SQL queries.

DBamp bridges the gap between Salesforce and SQL Server, offering organizations the ability to query Salesforce data and metadata through standard SQL commands. This makes it easier for businesses to generate comprehensive reports and manage data exchange between Salesforce and SQL databases efficiently. With DBamp, businesses can enhance data analysis processes and ensure a more fluid data integration experience.

What are the most important features of DBamp?

Real-time Data Access: Access Salesforce data in real time without cumbersome data transfers.
Simple Integration: Use familiar SQL interfaces to manage Salesforce data integration.
Flexible Deployment: Supports diverse configurations to fit enterprise needs.
Automated Data Sync: Keep data between Salesforce and SQL in sync automatically.
Comprehensive Support: Offers reliable customer service for swift troubleshooting.

What benefits or ROI should users look for in reviews?

Streamlined Operations: Reduces time and resources spent on manual data extraction.
Enhanced Data Insights: Provides more accurate and timely business insights.
Cost Efficiency: Minimizes expenses related to custom data integration solutions.
Improved Accuracy: Ensures data fidelity and reduces error margins.
Time Savings: Accelerates data processing and decision-making.

In industries like finance, DBamp is used to integrate Salesforce with SQL Server, improving financial reporting accuracy. Retail sectors benefit from real-time inventory updates by syncing Salesforce customer data directly into SQL databases. Healthcare institutions leverage DBamp for effective patient record management by connecting Salesforce and SQL storage solutions seamlessly.

CData Software

Sample Customers

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

Information Not Available

Find out what your peers are saying about Informatica, Palantir, Microsoft and others in Data Integration. Updated: September 2026.

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