Azure Logic Apps vs. Fivetran

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!

Incentivized

Fivetran's business model justifies the use-case where we require data from a single source basically a lot of data but if the requirement is not on the heavier side, Fivetran comes to costly operation when compared to its peers. Otherwise, I'll recommend Fivetran for stability and update and seamless service provider.

Incentivized

• Connecting to different services using OOB connectors
• Support for HTTP connectors which enables user to leverage RestAPIs
• Readability, i.e., it looks just like a Visio diagram. Even managers or HRs can have a look and get to know what's happening
• It's a Programmer's Lego. It's fun connecting them at the same time getting the work done

Incentivized

• Easily connects to source data using delivered connectors
• Transforms data into standard models and schemas
• Has very good documentation to help quickly setup connectors

Incentivized

• It falls short of alerting capabilities.
• 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.

Incentivized

• Very difficult to get connectors enhanced if a specific needed object is not supported by them
• Depending on the edition needed and the data volumes, can get quite expensive

Incentivized

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.

Incentivized

Very easy and intuitive to setup and maintain as there usually are not that many options. Very well documented (e.g. how to setup each connector, how the schema looks like, any specific features of this connector etc.). Also the operation is intuitive, e.g. you have status pages, log pages, configuration pages etc. for each connector.

Incentivized

It runs pretty well and gets our data from point A to point cluster quickly enough. Honestly, it's not something I think about unless it breaks and that's pretty rare.

Incentivized

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.

Incentivized

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.

Incentivized

We never seriously considered using anything else. Our data engineers had used Fivetran extensively in previous roles so when it came time to make a decision, there wasn't much of a process. They gladly signed the contract with Fivetran pretty quickly.

Incentivized

• 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.

Incentivized

• It has been very positive in serving BI team with new source requests
• It has been OK at scaling to match as data volumes as source data size grows

Incentivized