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Updated January 2026

FlowFrame vs Count

Two canvas analytics platforms, different team sizes and price points. Compare features, AI capabilities, data privacy, and pricing side-by-side.

Quick Comparison

FeatureFlowframeCount
PricingFree / $49/mo Pro (workspace)Free / Team (12+ seats) / Enterprise (40+ seats)
Minimum SeatsNone — flat pricing per workspace12 seats (Team), 40 seats (Enterprise)
Data PrivacyQuery results never storedData processed and stored on servers
Canvas InterfaceNode-based infinite canvasWhiteboard-style canvas
No-Code BuilderYes — visual query builderLimited — primarily SQL-based
Target Team SizeStartups and teams of any sizeMid-size to enterprise (12+ people)
CollaborationFigma-style live cursorsReal-time whiteboard collaboration

Overview

What is Flowframe?

FlowFrame is a collaborative analytics platform built for teams of any size — from solo analysts to growing startups. The node-based canvas lets you build data workflows visually, with a no-code query builder alongside a full SQL editor. Flat pricing ($49/month per workspace) means no minimum seat requirements and predictable costs as your team grows.

Flowframe is great if you:

Have a smaller or growing team with no minimum seat requirements

Want privacy-first analytics where query results are never stored

Need affordable, flat pricing that doesn't punish team growth

Want fast setup — connect a database and start querying in minutes

What is Count?

Count is a collaborative canvas for data teams, combining notebook-style analysis with a whiteboard-style interface. Recently launched their "Count Agent" (January 2026) — an AI that autonomously creates complete analyses. Count targets mid-size to enterprise data teams with minimum seat requirements of 12 (Team) and 40 (Enterprise).

Count is great if you:

Have a larger data team with 12+ people

Want AI agents that autonomously create full analyses and dashboards

Need enterprise features like SSO, HIPAA, and SOC 2

Have budget for premium, enterprise-grade tooling

Detailed Feature Comparison

Team Size & Pricing Comparison

FlowFrame

Free: Unlimited personal projects, all chart types, file uploads, public sharing

Pro: $49/month per workspace — 5 editor seats, unlimited viewers, no minimum

Additional editor seats: $10/user/month

Enterprise: Custom pricing with SSO, dedicated support, custom connectors

Count

Free: Personal use only — limited features and sharing

Team: Requires minimum 12 seats — pricing available upon request

Enterprise: Requires minimum 40 seats — custom pricing

Per-seat pricing on all paid tiers — costs scale with team size

Verdict

FlowFrame for small-to-medium teams — no minimum seats and flat pricing. Count for large enterprises with 40+ person data teams.

AI Capabilities Comparison

FlowFrame AI (Coming Q2-Q3 2026)

AI natural language queries — ask data questions in plain English

AI generates SQL from your natural language question

AI sees only table/column metadata — never your actual data

Zero data retention with AI provider — privacy-first approach

Count Agent (January 2026)

Full AI agent that autonomously creates complete analyses and dashboards

Builds metric trees, reports, and explorations independently

Works on the canvas autonomously — creates, organizes, and connects analyses

Output is auditable and editable after generation

Verdict

Count Agent is more autonomous and powerful. FlowFrame's AI prioritizes privacy — AI never accesses your actual data.

Data Privacy & Security

FlowFrame

Query results are transient — never persisted on FlowFrame servers

Uploaded files encrypted client-side with AES-256 before storage

Browser-based SQL execution via DuckDB-WASM for uploaded files

All data encrypted at rest (AES-256) and in transit (TLS 1.3)

Count

Data processed and stored on Count's servers

Moving ~80% of queries to browser-side execution (DuckDB)

Standard security measures with encryption

SOC 2 and HIPAA compliance available on Enterprise tier

Verdict

FlowFrame for privacy guarantees — query results are never stored. Count for SOC 2/HIPAA enterprise compliance certifications.

Setup & Ease of Use

FlowFrame

Simpler interface designed for mixed-skill teams

No-code query builder makes data accessible to non-technical users

Connect a database and run your first query in minutes

Visual canvas is intuitive for anyone familiar with design tools

Count

Feature-rich platform with a steeper learning curve

More powerful toolset for complex, multi-step analyses

Better suited for mature data teams with SQL expertise

Count Agent reduces the learning curve for new users

Verdict

FlowFrame for faster onboarding and mixed-skill teams. Count for mature data teams who need more advanced capabilities.

Database & Connector Support

FlowFrame

PostgreSQL, MySQL, MS SQL Server, MongoDB, BigQuery, Snowflake, Redshift, Databricks

File uploads: CSV, Parquet, JSON — analyzed instantly in-browser with DuckDB-WASM

Browser-based execution means no server round-trips for uploaded files

Growing connector library with regular additions

Count

BigQuery, Snowflake, Redshift — strong data warehouse support

PostgreSQL, MySQL for transactional databases

Azure Synapse for Microsoft ecosystem teams

Focus on enterprise data warehouse integrations

Verdict

Count has stronger enterprise data warehouse support. FlowFrame adds unique browser-based file analysis and supports more database types.

Collaboration Features

FlowFrame

Figma-style real-time collaboration with live cursors and presence

CRDT-based conflict-free editing (powered by Yjs)

Comments and text annotations directly on the canvas

Invite stakeholders with workspace roles for secure access, or share via public link for open distribution

Count

Real-time whiteboard-style collaboration on the canvas

Sticky notes, screenshots, and comments for contextual discussion

View-only access for stakeholders with report publishing

Thread-based discussions attached to specific canvas elements

Verdict

Both are strong. Count offers richer annotation tools. FlowFrame offers Figma-style live cursors and zero-friction public sharing.

Which Should You Choose?

When to Choose FlowFrame
1

Your team is smaller than 12 people — or you simply don't want minimum seat requirements

2

You want predictable, flat pricing — $49/month vs per-seat pricing

3

You care about data privacy — query results are never stored on servers

4

Your team includes non-technical members who need a no-code query builder

5

You want fast setup — connect a database and start querying in minutes

6

You're a startup or SMB looking for affordable, collaborative analytics

When to Choose Count
1

You have a 12+ person data team that meets the minimum seat requirement

2

You want the most powerful AI agent — Count Agent creates full analyses autonomously

3

You need enterprise compliance features like SSO, HIPAA, and SOC 2

4

Your primary data sources are BigQuery, Snowflake, or Redshift

5

You want formal metric governance with Count's metrics layer

6

You have the budget for enterprise-grade, premium analytics tooling

Frequently Asked Questions

The Bottom Line

Choose Count if you're a larger organization with the budget for premium tools and want the most powerful autonomous AI agent for data analysis.

Choose FlowFrame if you're a startup or growing team wanting affordable, privacy-first, canvas-based analytics with no minimum seat requirements and Figma-style collaboration.

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