Not as expensive as you think

Data silos are a pricing problem.

Some competitors charge base-fees. Others charge for viewers on top of that. One of them does a mean impression of you when you hang up. We price transparently and fairly. We'll make your database-load lighter, and your business case smarter.

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A deal breaker in nowadays life where we are bombarded with thousands and thousands of tools that PUSH you on how to use more and more compute, to spend credits and generate large dollar bills this tool shines out with a different approach.
Mincho Ganchev photo
Mincho Ganchev
Data Engineer, Runa
4.5

Choose Free if you:

  • Are a solo analyst or a team of two or three
  • Are working from CSVs and spreadsheets rather than a connected warehouse
  • Don’t need to share your work beyond a small group

Pro

$49/editor

Choose Pro if you:

  • Have a small data team with a much larger audience for their work
  • Are done paying viewer or reader fees on your current tool
  • Want self-serve access to your data without an annual contract

Scale

Popular

$69/editor

Choose Scale if you:

  • Have a data team supporting multiple business teams who all want to build in the tool
  • Are watching warehouse costs and tired of every query hitting the database
  • Want to build shared infra that the whole org runs on

Enterprise

Choose Enterprise if you:

  • Are in a regulated industry where procurement involves legal, security and a DPO
  • Can’t have data leaving a specific region or sitting in a multi-tenant environment
  • Want HIPAA compliance, row-level security and a dedicated CS partner in one contract

How many people will be creating analyses?

15
+250 collaborators who can view & comment
Start 14-day trialthen $1,035/mo$12,420 billed annually

Included on every plan

Count AI Agent
Count Metrics
Python & SQL cells
No-code tables
Google Sheets
Public sharing
SOC 2 & GDPR
Google/MS login
Community support
$0
FREE
  
$49/editor
PRO
  
$69/editor
SCALE
$1,035/mo$12,420 billed annually
Contact us
ENTERPRISE
  
The BI Basics

The BI Basics

Editors

These are the seats you pay for. They can create and edit canvases using the full range of Count tools. You can also limit them to no-code cells.

Max 3
Min. 15
Unlimited

Collaborators

These are included in each tier without further cost. Collaborators can use Count like a real-time whiteboard, adding sticky notes, screenshots & comments or they can just have view-only access to canvases and reports.

75
250
Unlimited

Database connections

Connect your entire data ecosystem to Count and together with our powerful semantic layer.

CSV only
2
Unlimited
Unlimited

Google Sheets connection

Seamlessly import and refresh Google Sheets within the canvas as if they were local CSV files.

All tiers

Count Metrics

Yes, this powerful semantic layer. Count Metrics lets you give users the fastest data exploration experience possible, built on governed, version-controlled metric definitions and relationships.

All tiers

Canvases

Infinite space to lay out data, solutions, and decisions with friends and colleagues.

3
Unlimited
Unlimited
Unlimited

Reports

These too. Turn your unlimited canvases into unlimited reports; "dashboards" even. Whatever it takes for impact.

Unlimited

Alerts

Okay. We *barely* limit these. Schedule cells, visuals, or whole reports to send over email or Slack either at a set time or when a condition is met.

2

Count AI Agent

SQL shouldn't be the secret to progress. Count's in-canvas agent lets you rapidly turn data and questions into well, smarter data and answers.

Fair use while in beta

Frequently Asked Questions

Count is the only tool that really makes BI drive business improvement, and we've yet to meet a leader who didn't see that as a priority. Some of the the biggest stakeholders lightbulb moments we've seen are when they see the relationship between their metrics made visible through a metric tree, or a complex process like their app onboarding shown visually with live data.

While it should never come down to cost, new customers find they can quickly offset the investment by migrating users to Count that are poorly served by their existing, more expensive BI tool. Count's use of DuckDB on the server and browser let you drastically reduce the number of queries hitting your data warehouses and substantially reduce your compute costs.

At Count we believe in transparent and generous pricing: you pay per editor seat, per month - and that price gets cheaper the more seats you buy. There is no base price, and no other hidden costs.

Unlike almost every alternative, you don't pay more for viewer seats: those are included at each tier.

No. You can start today for free, and upgrade to a paid plan at any time during your 14-day trial. There are no setup fees or implementation costs.

We accept all major debit and credit cards, which you can input into the billing section of your workspace settings.

You can change the number of seats you pay for at anytime in the Billing section of your Workspace settings.

Yes. Count is SOC2, GDPR and HIPAA certified, meaning we use the most up-to-date technology and procedures in the way we work. You can read more about everything we do .

The prices above include a set number of editor and collaborator seats. Seats can be assigned and used with a more fine-grained permission system:

Editors:

Analysts have full edit permissions in the canvas, including writing SQL and Python code.

Explorers have full edit permissions in the canvas but can only explore data using low code and visual cells.

Collaborators:

Members can edit objects in the canvas but cannot edit the inputs of cells.

Viewers cannot edit objects in the canvas but can add comments and use filters.

Report viewers can only view the presentation layer of the canvas, not the canvas itself (only available in Scale and Enterprise plans).

Our novel use of DuckDB in the browser and the server lets customers offload ~80% of day-to-day queries off your database, drastically reducing compute costs. In addition, Count has flexible and fine-grain caching controls so you can keep data current, while ensuring that expensive queries are run only when needed. Once your catalogs are setup in Count Metrics, you can cache entire views within DuckDB to enable low-cost self-serve at scale.