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 #30 with an average rating of 9.0. Microsoft holds a 3.2% 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 93 Azure Data Factory reviews

11,197 Views
7,838 Comparison Views

92% willing to recommend

Toad Data Point

Read 5 Toad Data Point reviews

1,268 Views
850 Comparison Views

100% willing to recommend

Azure Data Factory

Toad Data Point

Comparison Buyer's Guide

Download the report

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: December 2025).

Buyer's Guide

Azure Data Factory vs. Toad Data Point

December 2025

Download the complete report

Helped 880,745 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

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

30th

Average Rating

9.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Data Preparation Tools (6th)

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of Azure Data Factory is 3.2%, down from 10.0% 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 Market Share Distribution
Product	Market Share (%)
Azure Data Factory	3.2%
Toad Data Point	0.8%
Other	96.0%

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.

Read full review

reviewer2686479

Works

Facilitates seamless connections and automation across multiple data sources

Toad Data Point should include more features for utilizing AI, which can automatically perform many tasks. The tool should have a feature where, if I convert my Oracle connection, the code, whether a select statement or anything else, should automatically convert into Oracle format. The same with SQL. When connecting to SQL, the code should be in SQL format, and when connecting to Teradata, it should be in Teradata format. Since not everyone knows all languages, there should be a feature that automatically converts code into the desired format. It's not user-friendly. Once you start using it, you eventually get to know the features.

Read full review

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."

"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."

"We have found the bulk load feature very valuable."

"In terms of my personal experience, it works fine."

"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."

"The solution handles large volumes of data very well. One of its best features is its ability to integrate data end-to-end, from pulling data from the source to accessing Databricks. This makes it quite useful for our needs."

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

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

More Azure Data Factory pros

"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."

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

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

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

"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."

Cons

"Lacks a decent UI that would give us a view of the kinds of requests that come in."

"There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation."

"Customer service is not satisfactory. Third-party personnel handle support and rely on a knowledge repository."

"The user interface could use improvement. It's not a major issue but it's something that can be improved."

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

"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."

"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."

"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."

More Azure Data Factory cons

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

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

"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."

Pricing and Cost Advice

"The licensing cost is included in the Synapse."

"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."

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

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

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

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

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

"I don't see a cost; it appears to be included in general support."

More Azure Data Factory pricing and cost advice

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

"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."

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

880,745 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

11%

Manufacturing Company

Government

Financial Services Firm

29%

Healthcare Company

Manufacturing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	19
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...

See all answers

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...

See all answers

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...

See all answers

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 7% of the time

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

Compared 6% of the time

Palantir Foundry vs Azure Data Factory

Compared 5% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 5% of the time

FME vs Azure Data Factory

Compared 4% of the time

More Azure Data Factory Competitors

Teradata vs Toad Data Point

Compared 18% of the time

SAS Enterprise Guide vs Toad Data Point

Compared 16% of the time

WhereScape RED vs Toad Data Point

Compared 14% of the time

SSIS vs Toad Data Point

Compared 14% of the time

SAS Access vs Toad Data Point

Compared 11% of the time

More Toad Data Point Competitors

Product Reports

Buyer's Guide

Azure Data Factory

January 2026

Download Azure Data Factory product report

Buyer's Guide

Toad Data Point

December 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

December 2025

Free Report: Azure Data Factory vs. Toad Data Point

Find out what your peers are saying about Azure Data Factory vs. Toad Data Point and other solutions. Updated: December 2025.

DOWNLOAD NOW

880,745 professionals have used our research since 2012.

See our Azure Data Factory vs. Toad Data Point report.

See our list of best Data Integration vendors.

We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.