Azure Data Factory vs DBamp comparison

Microsoft and CData Software are both solutions in the Data Integration category. Microsoft is ranked #4 with an average rating of 8.1, while CData Software is ranked #47 with an average rating of 8.0. Microsoft holds a 2.3% 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 96 Azure Data Factory reviews

12,975 Views
9,083 Comparison Views

92% willing to recommend

DBamp

Read 1 DBamp review

854 Views
794 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, Microsoft, Palantir and others in Data Integration.

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

Buyer's Guide

Data Integration

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

Azure Data Factory

Ranking in Data Integration

4th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (5th)

DBamp

Ranking in Data Integration

47th

Average Rating

8.0

Reviews Sentiment

8.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.3%, down from 8.1% compared to the previous year. The mindshare of DBamp is 0.4%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.3%
DBamp	0.4%
Other	97.3%

Data Integration

Featured Reviews

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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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

"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."

"The most valuable feature I have found at Azure Data Factory is the data flow function."

"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."

"Instead of individual people reviewing these files, we were able to automate the ingestion process, which saved a bunch of time and hours of repeated manual work."

"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."

"Synapse was the better choice for us to implement, as it has a lot of out-of-the-box connectors that we can utilize for data transformation and organization."

"The flexibility that Azure Data Factory offers is great."

"The most valuable feature of this solution would be ease of use."

More Azure Data Factory pros

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

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

Cons

"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."

"We require Azure Data Factory to be able to connect to Google Analytics."

"The initial setup is not very straightforward."

"They should work on optimizing their licensing model and pricing structure."

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

"The only challenge with Azure Data Factory is its exception-handling mechanism."

"Data Factory could be improved in terms of data transformations by adding more metadata extractions."

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

More Azure Data Factory cons

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

Pricing and Cost Advice

"Data Factory is expensive."

"Data Factory is affordable."

"Azure products generally offer competitive pricing, suitable for diverse budget considerations."

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

"The licensing cost is included in the Synapse."

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

"The solution is cheap."

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

More Azure Data Factory pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

Manufacturing 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	63

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.

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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...

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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 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

Dataloader.io vs DBamp

Compared 33% of the time

MuleSoft Anypoint Platform vs DBamp

Compared 23% of the time

Skyvia vs DBamp

Compared 10% of the time

More DBamp Competitors

Product Reports

Buyer's Guide

Azure Data Factory

June 2026

Download Azure Data Factory product report

Buyer's Guide

Data Integration

June 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

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