Azure Data Factory vs Toad Data Point comparison

Why PeerSpot?

Microsoft and Quest Software are both solutions in the Data Integration category. Microsoft is ranked #5 with an average rating of 8.0, while Quest Software is ranked #11 with an average rating of 8.6. Microsoft holds a 2.2% 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 97 Azure Data Factory reviews

14,793 Views
10,207 Comparison Views

92% willing to recommend

Toad Data Point

Read 13 Toad Data Point reviews

3,123 Views
2,186 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 2026).

Buyer's Guide

Azure Data Factory vs. Toad Data Point

September 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:

ROI

Sentiment score

5.3

Azure Data Factory centralizes data, cuts costs, boosts efficiency, enhances client satisfaction, and delivers a 20-30% return.

Sentiment score

5.6

Toad Data Point significantly boosts productivity and efficiency by saving time and costs in database and data tasks.

Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.

Deena Thayalan

Data Engineer at Vthinktechnologies

For more quotes and insights, download the Azure Data Factory report

There is a clear return on investment because there is a significant amount of time saved and productivity gained, with roughly 30% to 50% of the time being reduced in solving production tickets heavily dependent on ad-hoc queries and accessing data from multiple sources.

Boya Uday Kumar

Ai Research Enthusiast And Developer at ADP

If they contain duplicate counts or null records or improper data, those records would not be reliable.

AdityaTiwari

Business Analyst at a financial services firm with 10,001+ employees

Tasks such as querying data, validating results, and troubleshooting database issues became more efficient, which helped save time during development and testing.

Kavya A

Full Stack Developer at CGI

For more quotes and insights, download the Toad Data Point report

Customer Service

Sentiment score

6.2

Azure Data Factory support is generally proficient and accessible, though response times and costs can vary for dedicated support.

Sentiment score

6.5

Toad Data Point support is praised for quick assistance, community resources, and effective resolution, ensuring a smooth user experience.

On a scale of one to ten, I would rate the technical support as nine.

Hafiz Abdul Mannan

Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees

The technical support from Microsoft is rated an eight out of ten.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

The technical support is responsive and helpful

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

For more quotes and insights, download the Azure Data Factory report

The quality of their support is excellent, and the speed is very good, too.

reviewer2687562

Works

They resolved my issue within a day which was specifically around licensing.

Aaron Payne

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

Overall, the service is excellent.

Mir Sayeed Hassan

Senior Oracle Database Administrator at ODB Training and Software Services LLP

For more quotes and insights, download the Toad Data Point report

Scalability Issues

Sentiment score

7.3

Azure Data Factory is scalable and flexible but sometimes requires support for quotas and improvements for broader scalability.

Sentiment score

6.9

Toad Data Point is scalable and efficient for databases, but may struggle with performance issues on very large datasets.

Azure Data Factory is highly scalable.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

I did not experience scalability issues.

SubrataDey

Principal Data Engineer at Oracle

For more quotes and insights, download the Azure Data Factory report

It does not scale well when considering the high cost of the Mac license.

Aaron Payne

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

Some aspects, like scalability, could be improved to avoid writing different codes for each database.

reviewer2686479

Works

Scalability has not been an issue because so far we have dumped about a billion records per year, and I do not see any issues as such.

Srinivasan Devadas

Senior Data Scientist at a tech vendor with 10,001+ employees

For more quotes and insights, download the Toad Data Point report

Stability Issues

Sentiment score

7.8

Azure Data Factory is highly rated for stability, though performance varies with setup, data volume, and resource allocation.

Sentiment score

7.9

Toad Data Point is highly stable and reliable for queries, despite occasional issues with new releases and large datasets.

The solution has a high level of stability, roughly a nine out of ten.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

It gives me the accurate result.

Kunal Das

Test Engineer at Happiest Minds Technologies

I have been using Azure Data Factory for a very long time, and I did not find too many issues.

SubrataDey

Principal Data Engineer at Oracle

For more quotes and insights, download the Azure Data Factory report

Toad Data Point has been stable overall in my experience, especially for regular database querying and daily development tasks.

Boya Uday Kumar

Ai Research Enthusiast And Developer at ADP

Most of the time, it performed consistently when running queries, connecting to data sources, and analyzing data.

Kavya A

Full Stack Developer at CGI

I often feel instability locally because it is a heavy application, and I feel some slowness in the response of the user interface.

Srinivasan Devadas

Senior Data Scientist at a tech vendor with 10,001+ employees

For more quotes and insights, download the Toad Data Point report

Room For Improvement

Azure Data Factory needs better setup, connectivity, documentation, support, performance, and UI for enhanced functionality and user experience.

Toad Data Point needs improvements in performance, user interface, integration, visualization, collaboration, scalability, cost, and non-expert support.

The ability to handle the largest volumes of data is another concern; if I have to manage more than one terabyte of data every day, I am not comfortable dealing with Azure Data Factory and had to switch to Oracle Data Integrators (ODI) because it lacks performance features.

Hafiz Abdul Mannan

Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees

If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity.

Kunal Das

Test Engineer at Happiest Minds Technologies

Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

For more quotes and insights, download the Azure Data Factory report

Better data visualization tools, improved integrations with modern tools, and enhanced collaboration features such as shared query libraries and real-time collaborations would be beneficial.

Mir Sayeed Hassan

Senior Oracle Database Administrator at ODB Training and Software Services LLP

Toad Data Point should include more features for utilizing AI, which can automatically perform many tasks.

reviewer2686479

Works

The application is heavy on my local PC; however, if I connect to a remote server, I think it works better.

Srinivasan Devadas

Senior Data Scientist at a tech vendor with 10,001+ employees

For more quotes and insights, download the Toad Data Point report

Setup Cost

Azure Data Factory's pricing is competitive but complex, requiring careful monitoring to manage costs for high data usage.

Toad Data Point's reasonable pricing contrasts with costly Mac licenses, while some prefer free Microsoft options despite integration issues.

The pricing is cost-effective.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

It is considered cost-effective.

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

For more quotes and insights, download the Azure Data Factory report

The Mac licenses are expensive, costing 1,600 dollars each.

Aaron Payne

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

The pricing for Toad Data Point is where it gets into trouble.

reviewer2687562

Works

The pricing is cost-effective; it is neither too cheap nor too expensive, it's a good value.

Mir Sayeed Hassan

Senior Oracle Database Administrator at ODB Training and Software Services LLP

For more quotes and insights, download the Toad Data Point report

Valuable Features

Azure Data Factory excels in performance, ease of use, scalability, and integration, making it highly valued for ETL processes.

Toad Data Point enhances productivity with cross-database querying, automation, security, and a user-friendly interface for efficient data management.

It connects to different sources out-of-the-box, making integration much easier.

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.

Deena Thayalan

Data Engineer at Vthinktechnologies

Regarding the integration feature in Azure Data Factory, the integration part is excellent; we have major source connectors, so we can integrate the data from different data sources and also perform basic transformation while transforming, which is a great feature in Azure Data Factory.

KandaswamyMuthukrishnan

Director at a computer software company with 1,001-5,000 employees

For more quotes and insights, download the Azure Data Factory report

I am able to have cross-connection queries, blend and join data from multiple different databases in a single query, with data profiling, automation and scheduling, and export and reporting tools.

Sudunagunta Bhavya Lekha

Junior Data Analyst at Lumendata

I utilize automations in my database with Ansible automations, performing automation data processing units and deployment, which has a positive impact, increasing efficiency and reducing human error, as well as saving time, thus improving productivity and scalability compared to human errors.

Mir Sayeed Hassan

Senior Oracle Database Administrator at ODB Training and Software Services LLP

Broad connectivity with the visual query builder because it is the most valuable for me as I can connect to different data sources, build queries quickly with drag-and-drop, and validate the results without writing everything manually from scratch.

Boya Uday Kumar

Ai Research Enthusiast And Developer at ADP

For more quotes and insights, download the Toad Data Point report

Categories and Ranking

Azure Data Factory

Ranking in Data Integration

5th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (7th)

Toad Data Point

Ranking in Data Integration

11th

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Preparation Tools (2nd)

Mindshare comparison

As of September 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.2%, down from 5.5% compared to the previous year. The mindshare of Toad Data Point is 0.8%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.2%
Toad Data Point	0.8%
Other	97.0%

Data Integration

Featured Reviews

Kunal Das

Test Engineer at Happiest Minds Technologies

Drag-and-drop pipelines have saved days of work and now automate data movement and backfilling

If the AI features were more improved so that I don't have to provide each and every detail, Azure Data Factory could be improved in a much better way by improving the AI features. For example, if I want to fetch any data from a raw source, I need to provide each and every detail. But if I am just uploading my raw data and if AI will sync with that data, it can analyze that data and give me proper suggestions on how that should be done in a proper way. Automatic suggestions could improve in a much better way. As I have mentioned, the AI features as well as more drag-and-drop activities could be improved. If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity. If I have used one activity, I shouldn't have to remember what activity should I use next. It should give auto-suggestions. That is why I have given a nine out of 10. Currently, I don't know about its governance and security, but in view of its improvement, I think Azure Data Factory should improve in these areas. As I already mentioned, the AI features should be improved. Also, the auto-suggestion features should also improve.

Read full review

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.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Manufacturing Company

Computer Software Company

Construction Company

Financial Services Firm

16%

Outsourcing Company

12%

Healthcare Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	21
Large Enterprise	64

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	11

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 is cost-effective; it is neither too cheap nor too expensive, it's a good value.

See all answers

What needs improvement with Toad Data Point?

I wish that Toad Data Point would have features that allow me to see the dependencies of packages and other development-side insights, as I know Toad by Oracle does; having such features would be b...

See all answers

What is your primary use case for Toad Data Point?

My main use case for Toad Data Point is creating scripts, SQL scripts, and queries for the Commonwealth of Massachusetts. A specific example of how I use Toad Data Point for creating scripts or que...

See all answers

Comparisons

Snowflake vs Azure Data Factory

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 4% of the time

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

Compared 3% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

SnapLogic vs Azure Data Factory

Compared 3% of the time

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SSIS vs Toad Data Point

Compared 9% of the time

SAS Access vs Toad Data Point

Compared 8% of the time

SAS Enterprise Guide vs Toad Data Point

Compared 5% of the time

Teradata vs Toad Data Point

Compared 4% of the time

Axway AMPLIFY Application Integration vs Toad Data Point

Compared 4% of the time

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Product Reports

Buyer's Guide

Azure Data Factory

September 2026

Download Azure Data Factory product report

Buyer's Guide

Toad Data Point

August 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 offers a user-friendly platform for streamlined database management, providing effective tools for data integration and analysis across multiple databases.

With a focus on enhancing database management efficiency, Toad Data Point facilitates smooth SQL querying and data preparation for organizations. Its seamless integration with different databases like Oracle, DB2, and MySQL allows for effective data analysis and workflow automation. Users benefit from drag-and-drop query building and AI-assisted analysis, enhancing productivity while enabling data-driven decision-making.

What are the key features of Toad Data Point?

Easy Learning Curve: Quick adoption with an intuitive interface.
Extensive Data Connectivity: Supports connections to multiple databases including Oracle and MySQL.
Automation Tools: Automates workflows and data migration tasks efficiently.
Drag-and-Drop Query Builder: Simplifies query creation without extensive coding.
AI-Assisted Analysis: Augments analysis with artificial intelligence.

What benefits and ROI should users expect?

Time Savings: Reduces time spent on routine tasks with powerful automation.
Data Connectivity: Facilitates seamless connections to diverse databases.
Enhanced Decision Making: Supports data-driven insights for business strategies.
Machine Learning Support: Aids in implementing AI and machine learning projects.

In industries requiring extensive data analysis and reporting, Toad Data Point is deployed to streamline operations. Businesses engage it for SQL queries, data preparation, and cross-database analysis, which are critical for sectors reliant on accurate data and timely insights.

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 2026

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