Airtable
AI-Native App Platform
The AI-native app platform, combining the magic of vibe coding business apps with real production-readiness and scalability.
How Users feel about Airtable
Pros
Cons
What reviewers say about Airtable
Reviews praise Airtable’s flexibility, clean views, and strong field types for enforcing data quality, with fast automations, webhooks, and a capable API. Makers of Fillout.com, OpenVC, and Playmaker highlight its ease of use, speed to build databases, and reliability at scale; several teams run core systems on it. Power users like Interfaces for internal tools and reporting, and the AI assists with schemas and formulas. Common gripes: occasional slow loading, a busier dashboard, limited rich docs/media, and costs that rise with automations and record counts.
This AI synopsis blends highlights gathered from recent reviewers.
How people rate Airtable
Based on 13 reviews
Recent highlights
As a product manager, consolidating roadmaps, customer insights, and strategic goals in Airtable feels like a dream come true.
We experimented with Linear and Jira, but they were either too rigid or too heavy for what we needed during rebuild mode. Airtable gave us the perfect balance of structure and flexibility. We used it to run lightweight pipelines across bugs, performance issues, user requests, and growth experiments, without slowing down the team or losing visibility.
I used Airtable as the backend for my Softr app. It’s flexible, easy to manage, and lets me structure data visually. I considered using Softr’s new internal database, but it doesn’t yet support automations, which I rely on.
Tip: Airtable is great if you need both data structure and automation. Alternative considered: Softr Databases – promising, but lacks full automation support (for now).