Azure Data Factory vs DBamp comparison

Why PeerSpot?

Microsoft and CData Software are both solutions in the Data Integration category. Microsoft is ranked #6 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

15,321 Views
10,725 Comparison Views

92% willing to recommend

DBamp

Read 1 DBamp review

1,161 Views
1,103 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 914,938 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

6th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (6th)

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 October 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.2%, down from 5.1% 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

"The data is more scalable."

"Data Factory itself is great, it's pretty straightforward, you can easily add sources, join and lookup information, etc., and the ease of use is pretty good."

"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."

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

"The initial setup is very quick and easy."

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

"I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets."

"We have used other ETL solutions in the past, and Azure Data Factory is the best one."

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

"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."

"Data Factory's performance during heavy data processing isn't great."

"Azure Data Factory is a bit complicated compared to Informatica. There are a lot of connectors that are missing and there are a lot of instances where I need to create a server and install Integration Runtime."

"The setup and configuration process could be simplified."

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

"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."

"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."

"But, I feel that if the usage extends beyond a certain threshold, it will start getting expensive."

More Azure Data Factory cons

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

Pricing and Cost Advice

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

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

"The licensing model for Azure Data Factory is good because you won't have to overpay. Pricing-wise, the solution is a five out of ten. It was not expensive, and it was not cheap."

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

"This is a cost-effective solution."

"Our licensing fees are approximately 15,000 ($150 USD) per month."

"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."

"It's not particularly expensive."

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

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

Informatica Intelligent Data Management Cloud (IDMC) 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

CONNX Data Virtualization vs DBamp

Compared 8% of the time

Jitterbit Harmony vs DBamp

Compared 7% of the time

Skyvia 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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