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Azure Data Factory vs Zapier comparison

 

Comparison Buyer's Guide

Executive Summary

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
7.3
Azure Data Factory enhances efficiency, centralizes data, reduces costs, and improves data analysis, offering significant financial and operational benefits.
Sentiment score
6.8
Zapier is praised for automation and cost savings, offering significant value especially in early stages despite ROI challenges.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
In a scenario where employing three resources for three months might cost approximately $18,000 to $20,000, Zapier provides substantial cost savings.
 

Customer Service

Sentiment score
6.5
Azure Data Factory support is responsive but varies in speed, with community resources and documentation aiding user satisfaction.
Sentiment score
7.6
Zapier's technical support is praised for efficiency and competence, though some users desire more immediate communication options.
The technical support from Microsoft is rated an eight out of ten.
The technical support is responsive and helpful
The technical support for Azure Data Factory is generally acceptable.
Sometimes, in my early days, when I was stuck with something, they helped me solve these issues, and even helped me solve some of my automations.
The experience was positive with prompt responses from their team.
In my experience, the customer service and technical support of Zapier is very slow.
 

Scalability Issues

Sentiment score
7.5
Azure Data Factory excels in scalability, efficiently managing workloads for any size, despite higher costs than alternatives.
Sentiment score
7.7
Zapier is ideal for small to mid-sized businesses, offering effective scalability and integration, but may not suit larger enterprises.
Azure Data Factory is highly scalable.
Scaling it gets quite expensive, and while I cannot evaluate it purely from a technology perspective, compared to Workato, I would give Zapier a seven for scalability.
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is stable and reliable, but faces integration challenges and requires enhancements to compete with top competitors.
Sentiment score
6.9
Users generally find Zapier reliable with occasional minor issues often linked to external factors, rating stability six to nine.
The solution has a high level of stability, roughly a nine out of ten.
In my current company, we had significant challenges with Zapier regarding maintenance, as Zaps were often broken, not necessarily due to Zapier, but due to changes in the input variables.
 

Room For Improvement

Azure Data Factory needs improved integration, better scheduling, enhanced UI, simplified pricing, more connectors, and responsive support.
Zapier users desire enhanced features, better integrations, improved support, and more flexibility alongside competitive pricing and comprehensive documentation.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
There is a problem with the integration with third-party solutions, particularly with SAP.
The error message options in the dashboard should be improved. It should be user-friendly so that beginners or non-technical users can figure out the problems and solutions on their own.
You can build similar or dependent automations in one Zap, which helps with understanding the process without switching between different records.
I would appreciate if there would be a feature where we can use actions right after loops. Currently, you cannot use any other action after the loop. Everything needs to be within the loop.
 

Setup Cost

Azure Data Factory pricing is usage-based and cost-effective, but large data volumes can lead to increased expenses.
Zapier offers flexible pricing, with costs rising for heavy use, yet many find it valuable for automation and time savings.
The pricing is cost-effective.
It is considered cost-effective.
The pricing is in accordance with market standards and even lower in some cases.
 

Valuable Features

Azure Data Factory provides seamless data integration, robust transformations, scalability, and strong SAP support, praised for its ease of use.
Zapier facilitates seamless app integration and task automation with user-friendly tools, supporting platforms like Salesforce and Google Sheets.
It connects to different sources out-of-the-box, making integration much easier.
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with.
They have approximately 7,000 connections.
Even a person with no technical knowledge can use Zapier to create automations.
The automation capabilities are impressive.
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
91
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (2nd)
Zapier
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
47
Ranking in other categories
Cloud Data Integration (13th)
 

Mindshare comparison

While both are Data Integration and Access solutions, they serve different purposes. Azure Data Factory is designed for Data Integration and holds a mindshare of 8.4%, down 12.3% compared to last year.
Zapier, on the other hand, focuses on Cloud Data Integration, holds 2.0% mindshare, up 1.8% since last year.
Data Integration
Cloud Data Integration
 

Featured Reviews

Joy Maitra - PeerSpot reviewer
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.
FrankHo - PeerSpot reviewer
Though the tool offers a visually appealing UI, it needs to improve its documentation
With Zapier, improvements are required in the areas of concerns like bugs, ease of use, and documentation. The product has many bugs, so users have to wait for a period ranging from five minutes to an hour to see where the Zap went. In Zapier, Zaps aren't very understandable owing to the way they work. As a user, you would think that in Zapier, a Zap works in a particular way once you set it up, but it won't happen. At times, some Zaps can interfere with each other, because of which there might be infinite loops that may occur, owing to which multiple Zaps continue to run or break down in general, after which nothing would run in your environment. You would not be notified about the breakdown of Zaps. The bugs in the product may be considered to understand or get an explanation of how Zaps works between software systems, so for something between Gmail and HubSpot, Zapier would explain through better documentation what would work and what wouldn't work. Maybe if Zapier had better functionality with Python or any other coding language in general, it would make the product a lot better.
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Government
6%
Computer Software Company
14%
Financial Services Firm
10%
University
9%
Educational Organization
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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.
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...
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...
What do you like most about Zapier?
The product's most valuable feature is automation.
What is your experience regarding pricing and costs for Zapier?
The pricing is suitable. It's not cheap, but not expensive.
What needs improvement with Zapier?
The pricing could be a little cheaper.
 

Overview

 

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
BuzzFeed, Groupon, Spotify, Columbia University, FOX
Find out what your peers are saying about Azure Data Factory vs. Zapier and other solutions. Updated: May 2023.
857,028 professionals have used our research since 2012.