Microsoft's Azure Data Factory is a service built for all data integration needs and skill levels. It is designed to allow the user to easily construct ETL and ELT processes code-free within the intuitive visual environment, or write one's own code. Visually integrate data sources using more than 80 natively built and maintenance-free connectors at no added cost. Focus on data—the serverless integration service does the rest.
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Azure Logic Apps
Score 8.8 out of 10
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Microsoft offers the Azure Logic Apps as a cloud-based integration service, supporting data and application integration.
$0
per execution
Pricing
Azure Data Factory
Azure Logic Apps
Editions & Modules
No answers on this topic
Actions
$0.000025
per execution
Standard Connector
$0.000025
per execution
Enterprise Connector
$0.001
per execution
Integration Account - Basic
$0.42
per hour
Integration Account - Standard
$1.37
per hour
Offerings
Pricing Offerings
Azure Data Factory
Azure Logic Apps
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Azure Data Factory
Azure Logic Apps
Considered Both Products
Azure Data Factory
No answer on this topic
Azure Logic Apps
Verified User
Employee
Chose Azure Logic Apps
Azure Logic Apps that's just easier than any other service and integrates great with Azure.
Well-suited Scenarios for Azure Data Factory (ADF): When an organization has data sources spread across on-premises databases and cloud storage solutions, I think Azure Data Factory is excellent for integrating these sources. Azure Data Factory's integration with Azure Databricks allows it to handle large-scale data transformations effectively, leveraging the power of distributed processing. For regular ETL or ELT processes that need to run at specific intervals (daily, weekly, etc.), I think Azure Data Factory's scheduling capabilities are very handy. Less Appropriate Scenarios for Azure Data Factory: Real-time Data Streaming - Azure Data Factory is primarily batch-oriented. Simple Data Copy Tasks - For straightforward data copy tasks without the need for transformation or complex workflows, in my opinion, using Azure Data Factory might be overkill; simpler tools or scripts could suffice. Advanced Data Science Workflows: While Azure Data Factory can handle data prep and transformation, in my experience, it's not designed for in-depth data science tasks. I think for advanced analytics, machine learning, or statistical modeling, integration with specialized tools would be necessary.
Microsoft Azure Logic Apps was a perfect solution for us to integrate the apps and products we used in our business to create automated workflows which were also complex and very advanced. This was a very new feature for us, and also it reduced our software costs massively and also saved us a lot of time. With the crisis, we were in back then Azure turned out to be the best cost-friendly solution because we only had to pay for what we used!
It allows copying data from various types of data sources like on-premise files, Azure Database, Excel, JSON, Azure Synapse, API, etc. to the desired destination.
We can use linked service in multiple pipeline/data load.
It also allows the running of SSIS & SSMS packages which makes it an easy-to-use ETL & ELT tool.
Microsoft Azure should be unclouded with its pricing. We don't always know how much an inclusion will affect the monthly price. So we have to speculate where we are with the price and if we can afford to include another asset.
I found them easy to use and adapt to different scenarios, from Azure management to link processes between REST APIs. Together with Function Apps, they're probably the most useful resource type for Azure. Today, I use them in production, and that's a key component: stable, secure, easy to manage, and maintain.
We have not had need to engage with Microsoft much on Azure Data Factory, but they have been responsive and helpful when needed. This being said, we have not had a major emergency or outage requiring their intervention. The score of seven is a representation that they have done well for now, but have not proved out their support for a significant issue
Azure Logic Apps are backed by Azure and Microsoft. There is a wealth of information on the internet about both of these platforms. In addition to this Microsoft has a huge bush to using this platform and have offered many solutions and support options to the user. The only drawback is that it is a fairly new platform so the 3rd party information tends to be lacking.
The easy integration with other Microsoft software as well as high processing speed, very flexible cost, and high level of security of Microsoft Azure products and services stack up against other similar products.
This is very dependent on the line of work you are in and the unique company requirements, as is the case with everything. We utilize Azure Logic Apps for all of our computing solutions within our domain, and it has always worked flawlessly. One of the simplest clouds to set up and use is by far the most popular.
Moving to Serverless Computing obviously makes the organization get rid of dependent Infra.
ROI can be seen immediately as the required infra can be decommissioned after a successful quarter run.
Being deployed as a single entity or single app on Azure Logic Apps, Organizations need to be more careful with controls applied to meet compliance and security posture.
