Simple, grow-as-you-need pricing

We price by Ridge. A Ridge is one embedded dashboard with a data agent. 
30-day free trial includes everything on the Standard Plan below.   
studio-ridge

Ridge Studio

$80 / month

$900 / year

Build and validate Ridge.

Ideal to get to know Ridge.
Includes:
  • Build Agent
  • Data Agent
  • Transform Agent
  • No data refresh
  • No embedding
  • No partitioning
  • Up to 5 users in-app
  • Up to 100 monthly views
Contact Us
solo-ridge

Solo Plan

$450 / month

$4,800 / year

Best used when partitioning is not needed.

For a single view of the data.
Includes:
  • Build Agent
  • Data Agent
  • Transform Agent
  • Data refresh
  • Embed 1 Ridge
  • No partitioning
  • Unlimited users in-app
  • Up to 1,000 monthly views
Contact Us
standard-ridge

Standard Plan

$850 / month

$9,600 / year

Serves analytics to your customers with their own data.

Ideal for in-product analytics.
Includes:
  • Build Agent
  • Data Agent
  • Transform Agent
  • Data refresh
  • Embed 1 Ridge
  • Partitioning: Up to 1,000
  • Unlimited users in-app
  • Up to 10,000 monthly views
Contact Us
enterprise

Enterprise Plan

Custom pricing

Serves custom partitions and traffic.

Ideal for high-volume usage.
Includes:
  • Build Agent
  • Data Agent
  • Transform Agent
  • Data refresh
  • Embed multiple Ridges
  • Partitioning: Custom
  • Unlimited users in-app
  • Monthly views: Custom
Contact Us
"Partitioning" means showing each customer their own data in the Ridge, vs the same data for all viewers.  
Academic or industry analyst? Contact us at info@ridgedata.ai for special (or free) pricing.  
All accounts are subject to very high token limits that encompass normal use.

Why we price per Ridge

Most analytics tools charge per seat, query, or compute. That leads to unpredictable costs.
Ridge is priced per use case to get you going quickly and keep costs steady.

Predictable

Aligned with your value

Easy to start and expand

What's a Ridge? 

A Ridge is a dashboard with a data agent, both backed by the same data. Linking these, rather than looking at them as separate windows to the data, makes them both more powerful. More about Ridges.