Knit Vs Kombo: Knit is Built For Scale
Knit is built for scale - wider coverage, richer data models, powerful webhooks and better tooling out of the box that Kombo lacks.
Knit is built for scale - wider coverage, richer data models, powerful webhooks and better tooling out of the box that Kombo lacks.
Kombo stores a copy of your customer data and serves you from its cache. Knit on the other hand is built with stateless syncs to give you realtime data without caching
Give your users seamless control over data scopes - your users simple toggle scopes on/off from the auth component. This is an industry first!
Kombo expects you to work with passthroughs if your use case is not covered by its common models. Instead, Knit's AI connector builder builds a bespoke unified connector for use case not covered in its common models on the fly!
With Knit, you can chose your pricing variable - either API calls or a fixed cost per connected integration.
Knit helps SaaS teams launch integrations faster, customize them effortlessly, and maintain full control over data empowering you to scale without limits
Hear from some amazing companies who solve their integration challenges with Knit!
4.9 out of 5 stars on G2
While both Kombo and Knit support HRIS and ATS Intergrations . Additionally, Knit offers more flexibility and control on how you want to manage integrations with API controls for integrations scope, custom object mapping and more
Both Knit and Kombo support unified APIs for various use cases. However, Knit has a wider support for webhooks both virtual and native third party webhooks when compared to merge.
Both platforms have a platform fee and a usage fee that scales based on usage. Knit however offers better support and capabilities on its Scale plan compared to Kombo leading to better overall value for customers
When a feature is marked as “Limited” (such as with virtual webhooks or custom field mapping on Kombo), it indicates that while the functionality exists, it may have some constraints or reduced capabilities compared to a fully supported feature. This could impact how much you can customize or scale that particular integration.
Both platforms have specific offerings for business of different scale. If you're looking for flexibility in integrations and dedicated support for new integration requests Knit would be a better fit. If your use cases are simple you might not need a lot of support kombo maybe a better fit