Azure Data Factory vs Toad Data Point comparison

Microsoft and Quest Software are both solutions in the Data Integration category. Microsoft is ranked #3 with an average rating of 8.2, while Quest Software is ranked #20 with an average rating of 8.8. Microsoft holds a 2.8% mindshare in DI, compared to Quest Software’s 0.8% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of Quest Software users who would recommend it.

Azure Data Factory

Read 94 Azure Data Factory reviews

10,752 Views
7,526 Comparison Views

92% willing to recommend

Toad Data Point

Read 7 Toad Data Point reviews

1,484 Views
1,024 Comparison Views

100% willing to recommend

Azure Data Factory

Toad Data Point

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Toad Data Point and Azure Data Factory compete in the data management category. Toad Data Point is preferred for its user-friendly analysis tools, while Azure Data Factory stands out for data integration capabilities, making it ideal for large-scale projects.

Features: Toad Data Point includes intuitive data analysis tools, database query capabilities, and user-friendly interfaces, enhancing productivity for analysts. Azure Data Factory provides powerful data integration, orchestration, and cloud connectivity features for supporting complex workflows.

Ease of Deployment and Customer Service: Toad Data Point allows easy deployment and offers appreciated customer support. Azure Data Factory integrates seamlessly with Azure services, suitable for enterprises in the Azure ecosystem, though it may involve a steeper learning curve.

Pricing and ROI: Toad Data Point is seen as cost-effective with a favorable return on investment for small to medium businesses due to lower setup costs. Azure Data Factory's pricing matches its scalable infrastructure, fitting for enterprises targeting long-term growth with cloud solutions.

To learn more, read our detailed Azure Data Factory vs. Toad Data Point Report (Updated: March 2026).

Buyer's Guide

Azure Data Factory vs. Toad Data Point

March 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

3rd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (2nd)

Toad Data Point

Ranking in Data Integration

20th

Average Rating

8.8

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Preparation Tools (3rd)

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.8%, down from 9.7% compared to the previous year. The mindshare of Toad Data Point is 0.8%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.8%
Toad Data Point	0.8%
Other	96.4%

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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Sudunagunta Bhavya Lekha

Junior Data Analyst at Lumendata

Drag-and-drop workflows have accelerated cross-database analysis and simplified daily reporting

I consider user interface modernization in Toad Data Point to be an area for improvement; it could be enhanced with a more modern, web-based look and smoother navigation, focusing on better UX and dashboard customization. Real-time collaboration could benefit from trying Git-style integration, which would strengthen team collaboration features. Performance with large data sets sometimes slows down our workflows, so implementing a better optimization engine specifically for big data workflows could enhance functionality, along with improvements in cloud-native deployment for better browser access. For the dashboarding feature, I believe Toad Data Point could improve by offering more interactive dashboards and advanced visualizations beyond the current basic charts and pivots. Implementing capabilities such as drill-down, interactive filters, and dynamic parameter selections would align more with BI-style interactivity. Visualizations compared to tools such as Microsoft Power BI or Tableau are quite limited, so enhancing this area with cloud-hosted interactive dashboards and seamless auto-refresh options would greatly improve user experience.

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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 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."

"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."

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

"We use the solution to move data from on-premises to the cloud."

"It makes it easy to collect data from different sources."

"An excellent tool for pipeline orchestration."

"Azure Data Factory is a low code, no code platform, which is helpful."

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

More Azure Data Factory pros

"The best thing about it is its automation features."

"I have never experienced any issues with customer service."

"We love it."

"It provides better SQL development tooling than SQL Developer, which is not a sufficient tool for all development use cases. It offers power developers the tools they need."

"I would estimate that Toad Data Point saves me about 30 to 70 percent of my time depending on the work type."

"The Connectivity and Connection Manager supports a broad number of connection types, and it is trivial for end-users to set up their own connections to sources."

"One of the greatest features is that you can get data from anywhere to anywhere with Toad Data Point."

"What I like the most about Toad Data Point is the automation feature, which is mostly useful for us, and I have not found it in any other systems that I have worked with so far, and it can easily schedule any automation tasks that we provide."

More Toad Data Point pros

Cons

"Some known bugs and issues with Azure Data Factory could be rectified."

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

"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."

"There's space for improvement in the development process of the data pipelines."

"When working with AWS, we have noticed that the difference between ADF and AWS is that AWS is more customer-focused. They're more responsive compared to any other company. ADF is not as good as AWS, but it should be. If AWS is ten out of ten, ADF is around eight out of ten. I think AWS is easier to understand from the GUI perspective compared to ADF."

"In the next release, it's important that some sort of scheduler for running tasks is added."

"There are performance issues, particularly with the underlying compute, which should be configurable."

"The initial setup is not very straightforward."

More Azure Data Factory cons

"It's not user-friendly. Once you start using it, you eventually get to know the features."

"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."

"On the scheduling server, some scheduled reports just sit there and never execute for the first time. After manually executing the first time, they run with no issues."

"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version."

"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version. Scalability is difficult when it is that costly."

"Visualizations compared to tools such as Microsoft Power BI or Tableau are quite limited, so enhancing this area with cloud-hosted interactive dashboards and seamless auto-refresh options would greatly improve user experience."

"What could be improved is probably the user interface."

"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."

More Toad Data Point cons

Pricing and Cost Advice

"The price you pay is determined by how much you use it."

"This is a cost-effective solution."

"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."

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

"The solution is cheap."

"The price is fair."

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

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

More Azure Data Factory pricing and cost advice

"The Mac licenses are expensive, costing 1,600 dollars each. This is much higher than for the Windows version. I maintain a very limited number of licenses due to this cost."

"The price of Toad Data Point was approximately $500 annually."

"The cost of this product is reasonable."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

11%

Manufacturing Company

Government

Financial Services Firm

24%

Healthcare Company

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	20
Large Enterprise	57

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 Toad Data Point?

The pricing for Toad Data Point is where it gets into trouble. Microsoft is free, so if you get SQL Server, you get all the other stuff with it. You have to use several Microsoft tools that don't a...

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What needs improvement with Toad Data Point?

See all answers

What is your primary use case for Toad Data Point?

We are working for US banking, and for that, we have a project where we are using PowerCenter along with ETL; in that, we are using Toad Data Point for the SQL queries. Drag-and-drop functionality ...

See all answers

Comparisons

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

Compared 5% of the time

Snowflake vs Azure Data Factory

Compared 5% of the time

FME vs Azure Data Factory

Compared 4% of the time

Palantir Foundry vs Azure Data Factory

Compared 4% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 3% of the time

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SAS Enterprise Guide vs Toad Data Point

Compared 11% of the time

WhereScape RED vs Toad Data Point

Compared 10% of the time

SAS Access vs Toad Data Point

Compared 9% of the time

SSIS vs Toad Data Point

Compared 8% of the time

Teradata vs Toad Data Point

Compared 8% of the time

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Product Reports

Buyer's Guide

Azure Data Factory

March 2026

Download Azure Data Factory product report

Buyer's Guide

Toad Data Point

February 2026

Download Toad Data Point 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

Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides nearly limitless data connectivity, desktop data integration, visual query building and workflow automation.

Quest 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

Concordia University

Buyer's Guide

Azure Data Factory vs. Toad Data Point

March 2026

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