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 8.0, while Quest Software is ranked #29 with an average rating of 9.0. Microsoft holds a 9.5% mindshare in DI, compared to Quest Software’s 0.5% 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 90 Azure Data Factory reviews

16,157 Views
12,990 Comparison Views

92% willing to recommend

Toad Data Point

Read 5 Toad Data Point reviews

559 Views
442 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: April 2025).

Buyer's Guide

Azure Data Factory vs. Toad Data Point

April 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 (3rd)

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 April 2025, in the Data Integration category, the mindshare of Azure Data Factory is 9.5%, down from 12.7% compared to the previous year. The mindshare of Toad Data Point is 0.5%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

Facilitates seamless data pipeline creation with good analytics and and thorough monitoring

Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.

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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

"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."

"The security of the agent that is installed on-premises is very good."

"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."

"The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted."

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

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

"The most valuable feature is the ease in which you can create an ETL pipeline."

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

More Azure Data Factory pros

"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."

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

"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."

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

"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."

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

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

"We love it."

Cons

"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."

"It does not appear to be as rich as other ETL tools. It has very limited capabilities."

"Some prebuilt data source or data connection aspects are generic."

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

"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."

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

"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."

"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."

More Azure Data Factory cons

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

"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."

"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."

"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. Scalability is difficult when it is that costly."

"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."

Pricing and Cost Advice

"This is a cost-effective solution."

"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."

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

"Pricing appears to be reasonable in my opinion."

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

"The solution is cheap."

"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."

"It's not particularly expensive."

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 cost of this product is reasonable."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Financial Services Firm

35%

Healthcare Company

13%

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

Informatica PowerCenter vs Azure Data Factory

Compared 11% of the time

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

Alteryx Designer vs Azure Data Factory

Compared 6% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

Alteryx vs Toad Data Point

Compared 23% of the time

WhereScape RED vs Toad Data Point

Compared 17% of the time

SSIS vs Toad Data Point

Compared 16% of the time

Teradata vs Toad Data Point

Compared 16% of the time

Oracle Data Integrator (ODI) vs Toad Data Point

Compared 15% of the time

More Toad Data Point Competitors

Product Reports

Buyer's Guide

Azure Data Factory

April 2025

Download Azure Data Factory product report

Buyer's Guide

Toad Data Point

March 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

April 2025

Free Report: Azure Data Factory vs. Toad Data Point

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