Zapier vs Make

Zapier is the most popular integration and automation platform on the market. While they've had competitors arise over the years like Make, Tray, and Workato, they've managed to build one of the most user-friendly interfaces of them all, along with the largest number of deeply supported apps. Not a small feat whatsoever.

If you're using a modern software (take any app listed on our site for the most part), and there's sure to be a Zapier connector. This is pretty baffling when you really think about it.

When comparing Zapier vs Make for example, Make may look more user-friendly and accessible, but we're here to tell you that isn't the case. Make is more powerful with some inline formulas and other logic power features, but that definitely does not make it easier to use. If anything, it's easy to feel quite overwhelmed when first using Make.

Time and time again, in trying Make, we have found ourselves coming back to Zapier. It really can be bent and molded into what it needs to be.

In recent months, Zapier has gone incredibly deep into leveraging AI like OpenAI to rethink and evolve the integration space as a whole. This is something we applaud, and have been quite impressed by.

We're seeing Zapier slowly outgrow even just the integration world, and actually evolve into one of the best no code tools on the market. At the rate they are going with AI, alongside Tables and Interfaces, we wouldn't be surprised if we start seeing Airtable vs Zapier actually come up in the conversation in the future in the No-Code Builder space along with the Database space. For right now though, we'll have to award the winner to Airtable, but that doesn't mean we're not keeping a close eye on what Zapier has up its sleeve.

While at first glance Make may look more user-friendly and visually appealing than that of Zapier with their drag-and-drop interface and animated bubble-like components, it's deceptively complex, yet extremely powerful.

Make is much more than a tool to just pass data from one app to another, it's also a fully-featured data manipulation tool for the data.

Because of that, learning how to use Make effectively is actually like learning a programming language, which is where the initial deception comes from.

The people I know that use Make as their main integration tool, are using it for quite complex data problems, for large companies, and they are often just as technical as a traditional engineer.

If you don't know what an API is, how webhooks function, and how arrays work, you're likely going to struggle with using Make.