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Comparison · Analytics

Count vs Omni

A side-by-side editorial comparison of Count and Omni — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:mcp

Count vs Omni: at a glance

FeatureCountOmni
SectorAnalyticsAnalytics
Velocity score6.36.3
Sparks · 30d01
Top themesagentic-analytics, mcp, public-api, warehouse-connectorsbi-analytics, embedded-analytics, ai-agents, semantic-layer
Last editorial update3mo ago1d ago
WebsiteVisit →Visit →

What is Count?

Count is turning its BI canvas into a governed, agent-operated analytics platform.

Count is a data-canvas analytics tool reorganizing itself around an AI agent. In two months it shipped a full public REST API and hosted MCP server (governed agent access via OAuth and service accounts), a major agent upgrade that lets the agent read and edit the entire canvas and answer from Slack, and the ability to plug external MCP servers (Linear, HubSpot, Stripe, Slack, Drive) into the agent. Around the agent it keeps broadening warehouse support—ClickHouse, Snowflake semantic models, OSI—alongside chart and UX polish.

Read the full Count trajectory →

What is Omni?

Omni's Apps reach general availability, completing its embedded analytics platform pitch.

Omni is operating on three fronts in parallel: a governed BI workspace for analysts, an AI agent layer including Omni Agent and AI Routines connected via MCP, and an embedded analytics platform for product teams. The AI semantic model generation hitting GA in July and embedded Apps hitting GA in August represent the two most significant capability milestones in recent months — both cross the line from preview to production-ready commitment.

Read the full Omni trajectory →

Count vs Omni: editorial side-by-side

C
Count
ANALYTICS
6.3

Count is turning its BI canvas into a governed, agent-operated analytics platform.

◆ Current state

Count is a data-canvas analytics tool reorganizing itself around an AI agent. In two months it shipped a full public REST API and hosted MCP server (governed agent access via OAuth and service accounts), a major agent upgrade that lets the agent read and edit the entire canvas and answer from Slack, and the ability to plug external MCP servers (Linear, HubSpot, Stripe, Slack, Drive) into the agent. Around the agent it keeps broadening warehouse support—ClickHouse, Snowflake semantic models, OSI—alongside chart and UX polish.

◆ Where it's heading

Count is building toward analytics where agents are first-class operators: a governed API/MCP layer for access, an agent that drives the canvas end to end, external tool reach via MCP, and connection-level context so guidance is captured once and inherited. Governance—permissions, scopes, service accounts—is the enabling layer that makes agent access acceptable in real data stacks rather than a bolt-on.

◆ Prediction

Expect more connection- and warehouse-level context controls, a widening catalog of supported external MCP integrations, and deeper Slack-native agent workflows.

O
Omni
ANALYTICS
6.3

Omni's Apps reach general availability, completing its embedded analytics platform pitch.

◆ Current state

Omni is operating on three fronts in parallel: a governed BI workspace for analysts, an AI agent layer including Omni Agent and AI Routines connected via MCP, and an embedded analytics platform for product teams. The AI semantic model generation hitting GA in July and embedded Apps hitting GA in August represent the two most significant capability milestones in recent months — both cross the line from preview to production-ready commitment.

◆ Where it's heading

The product is converging on a stack that spans the full data workflow: governed modeling, AI-assisted analysis, agentic automation (Routines, MCP tools), and embedded delivery (Apps). Each surface is advancing simultaneously, which points to a deliberate platform strategy rather than feature prioritization. Omni is positioning the integrated stack — governed data with AI on top, deployable anywhere — as its competitive wedge against both traditional BI tools and AI-native data startups.

◆ Prediction

AI Routines and MCP tools will likely expand toward write operations or workflow triggers, moving from query-and-report toward agentic data operations. The embedded Apps surface will add white-labeling and more deep customization options as enterprise product teams push on it post-GA.

Alternatives to Count and Omni

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Count or Omni.

See all Count alternatives → · See all Omni alternatives →

Recent activity from Count and Omni

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1d agoOmniSkills API, Composite Topics API, and Undo/Redo Navigation
  2. 6d agoOmniApps Reach General Availability; Dashboard PNG Exports via MCP
  3. 14d agoOmniOmni Agent Dashboard Editing, AI Chat Memory, CLI v1.2
  4. 21d agoOmniEmbedded Apps Preview, Databricks Query Tagging, Forecasting Controls
  5. 28d agoOmniDefault Filters on Composite Topics, Dashboard Query Stopping
  6. 1mo agoOmniFull-Screen Presentation Mode, searchDashboards MCP Tool
  7. 3mo agoCountConnect external MCP servers to the Count agent
  8. 3mo agoCountDashed lines
  9. 4mo agoCountNew workspace home
  10. 4mo agoCountClickHouse support
  11. 5mo agoCountMajor Count agent upgrade: edits any cell, runs in Slack
  12. 5mo agoCountPublic API and MCP server

Frequently asked questions

What is the difference between Count and Omni?

Both compete on the same themes — mcp — within Analytics. Count and Omni are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Count better than Omni?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Count and Omni are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to Count?

Top Count alternatives in Analytics are ranked by recent ship velocity. Browse the "Count alternatives" section above for the current picks, or visit /alternatives/count for the full list with editorial commentary on each.

What are the best alternatives to Omni?

Top Omni alternatives in Analytics are ranked by recent ship velocity. Browse the "Omni alternatives" section above for the current picks, or visit /alternatives/omni for the full list with editorial commentary on each.