We performed a comparison between Azure Data Factory and Zapier based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The overall performance is quite good."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."
"It is easy to deploy workflows and schedule jobs."
"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."
"The solution is okay."
"An excellent tool for pipeline orchestration."
"There are a few valuable features, like the stability that it comes with and also the number of features that it offers. I've used other services like Pabbly, but they don't offer similar numbers of applications that Zapier has or allows to integrate with – it's maximum."
"Zapier is user friendly and makes it easy to integrate different tools. It has a drag and drop functionality which makes it easy to connect environments."
"The most valuable aspect of this solution is that it is very intuitive and has a very flat learning curve."
"What's most valuable in Zapier is its simplicity, seamlessness, and smooth plug-in, so you won't need to build code for every action. I'm not a developer, but I can use Zapier."
"We can connect Zapier with Zoho CRM for lead generation. I like the tool's drag and drop feature."
"The most valuable feature of Zapier is it saves me time doing repetitive tasks."
"Zapier is a really good tool for connecting multiple different platforms and data sources. For example, with Quickbase, I can easily integrate data from other sources like AWS or task-tracking platforms such as ClickUp or Asana."
"Zapier luckily has a wide range of integrations, I would say."
"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."
"The pricing scheme is very complex and difficult to understand."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."
"It would be better if it had machine learning capabilities."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"It is not worth the money if you have a little bit of a technical mind...Zapier is not able to set up different modules. When automation doesn't work, it's not that easy to find why it didn't work."
"After mapping them out, and they'd worked for a while, I've had Zapier fail."
"System-to-system is fine, but when it comes to system-to-user, where Zapier is helping to communicate to a user, that's a one-way communication. If that user has to perform some action on that notification, the action isn't handled by Zapier. So there's no way to orchestrate that and it's very cumbersome."
"I think that this solution should have more apps connected to it."
"The user interface for Zapier could be improved. It also takes some time to sync the data between different environments."
"Some recent changes to the solution have made it bulky and not as intuitive to use as it previously was."
"Zapier could be a little faster, but that might not be possible. I would encourage Zapier to make more API endpoints for each application"
"The pricing could be a little cheaper."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Zapier is ranked 10th in Cloud Data Integration with 41 reviews. Azure Data Factory is rated 8.0, while Zapier is rated 8.6. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of Zapier writes "A tool for automation purposes requiring an easy initial setup while offering a very helpful technical support team ". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Zapier is most compared with AWS Glue, Alteryx Designer, Tray.io, Coefficient and SnapLogic. See our Azure Data Factory vs. Zapier report.
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