Airtable VS Data

Ask the community
,
1

I have been using Airtable for years now, and it is a very comprehensive and flexible platform. It can do a million things, probably more than I need.

My experience with their support service has always been good. So I have nothing to complain about it.

However, it is an “external” platform, and I love it when I can reduce the number of platforms I use, especially if I can do the same things with fewer platforms, and I am not reluctant to change tools if I see the benefits.

Here is the question: Does Softr Data do everything that Airtable does? What are the specific differences and limitations as of now? What is your experience with Data?

2

Quickly sharing my experience as a builder:

Softr Databases pros:

  • Speed when building apps, loading speed
  • Allowing instant workflow triggers based on database conditions
  • More generous records limits
  • Pricing: Unlimited collaborators in Softr studio for free
  • I prefer the database co-builder as Omni
  • API rate limits (10x more generous than Airtable)
  • Granularity of Database AI Agents execution rules
  • Full database control over API (you can build your own agents that build or manage Softr DBs for you :smiley:)

Cons:

  • No (yet) auto snapshots of your DB
  • No (yet) logs of record changes, think this comes very soon
  • Less options to visually build directly in the database (e.g. no other views than table, but specifically because the best way to have interfaces is to actually build apps)
3

Can I add something that Softr DB doesn’t do

AI enhanced linking - use ai to display most relevant matches first - this is very powerful in Airtable because it allows you to use a fuzzy search to get the user to the most likely results first.

Would love to have it in Softr DB.

4

I think the starting point here is that Softr Databases are not trying to push the database itself as the main working interface. The philosophy is that the database powers the app, and most of the user experience and logic is meant to happen inside the app layer.

Because of that, features like AI enhanced linking are not necessarily designed to live inside the database view itself. Instead, they are meant to be implemented where they create the most value, which is in the app your end users interact with.

For example, when someone creates a new task in your app, you could build logic that scans your Users table, looks at domains of expertise, and recommends the top three most relevant users for that task. This kind of intelligent matching can already be built by combining the Vibe Coding block with Softr workflows.

So it is less about replicating every Airtable feature directly inside the database interface, and more about enabling you to build smarter, more contextual experiences inside the app itself. If that would be helpful, I would be happy to share more concrete examples of how to set this up.