Azure Data Factory vs Toad Data Point comparison

Microsoft and Quest Software are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.2, while Quest Software is ranked #29 with an average rating of 9.0. Microsoft holds a 5.2% mindshare in DI, compared to Quest Software’s 0.6% 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 92 Azure Data Factory reviews

13,131 Views
9,192 Comparison Views

92% willing to recommend

Toad Data Point

Read 5 Toad Data Point reviews

982 Views
648 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: September 2025).

Buyer's Guide

Azure Data Factory vs. Toad Data Point

September 2025

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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

1st

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (2nd)

Toad Data Point

Ranking in Data Integration

29th

Average Rating

9.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Data Preparation Tools (5th)

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of Azure Data Factory is 5.2%, down from 11.0% compared to the previous year. The mindshare of Toad Data Point is 0.6%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Azure Data Factory	5.2%
Toad Data Point	0.6%
Other	94.2%

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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Aaron Payne

ERP Manager at a tech services company with 5,001-10,000 employees

Offers power developers the tooling they need

I am not the end user of this solution. I am not close enough to it because I manage the platform that it runs against. The end users who use the Toad tool come against the database that my team manages, so it is hard for me to provide any area for improvement when it comes to the Toad tool. However, in the administration case, cost is a significant issue. 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.

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

"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."

"I can do everything I want with SSIS and Azure Data Factory."

"Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."

"An excellent tool for pipeline orchestration."

"The data flows were beneficial, allowing us to perform multiple transformations."

"I like the basic features like the data-based pipelines."

"The valuable feature of Azure Data Factory is its integration capability, as it goes well with other components of Microsoft Azure."

More Azure Data Factory pros

"We love it."

"The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would give you the parameters that you could input. The auto-formatting feature is useful because it was great for keeping your queries neat and understandable. The auto comment, and uncomment toggles that you could do were convenient."

"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."

"With Toad Data Point, I can automate most steps automatically."

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

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

"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."

Cons

"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."

"The pricing model should be more transparent and available online."

"There aren't many third-party extensions or plugins available in the solution."

"The deployment should be easier."

"When the record fails, it's tough to identify and log."

"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."

"The solution needs to be more connectable to its own services."

"I would like to be informed about the changes ahead of time, so we are aware of what's coming."

More Azure Data Factory cons

"Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it would be very helpful, especially for small development teams or teams that lack the input skills necessary to write and program efficiently."

"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."

"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."

"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."

"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."

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

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

Pricing and Cost Advice

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

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

"The price is fair."

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

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

"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."

"Product is priced at the market standard."

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

More Azure Data Factory pricing and cost advice

"The cost of this product is reasonable."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

12%

Manufacturing Company

Government

Financial Services Firm

33%

Healthcare Company

10%

Insurance Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	19
Large Enterprise	55

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?

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.

See all answers

What is your primary use case for Toad Data Point?

When I use it, I'm using it for writing SQL or testing SQL code. I used to use it for moving data, loading files into database tables, from tables to other tables.

See all answers

Comparisons

Snowflake vs Azure Data Factory

Compared 9% of the time

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

Compared 7% of the time

Informatica PowerCenter vs Azure Data Factory

Compared 6% of the time

FME vs Azure Data Factory

Compared 6% of the time

Palantir Foundry vs Azure Data Factory

Compared 5% of the time

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Teradata vs Toad Data Point

Compared 23% of the time

Alteryx vs Toad Data Point

Compared 22% of the time

WhereScape RED vs Toad Data Point

Compared 21% of the time

SAS Enterprise Guide vs Toad Data Point

Compared 17% of the time

SSIS vs Toad Data Point

Compared 16% of the time

More Toad Data Point Competitors

Product Reports

Buyer's Guide

Azure Data Factory

October 2025

Download Azure Data Factory product report

Buyer's Guide

Toad Data Point

September 2025

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

September 2025

Free Report: Azure Data Factory vs. Toad Data Point

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