← Back to home
Comparison · Analytics

Omni vs Count

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

Omni vs Count: at a glance

FeatureOmniCount
SectorAnalyticsAnalytics
Velocity score5.06.3
Sparks · 30d01
Top themesbusiness-intelligence, ai-agents, data-modeling, embeddingagentic-analytics, mcp, public-api, warehouse-connectors
Last editorial update2d ago1d ago
WebsiteVisit →Visit →

What is Omni?

Omni is steadily folding AI agents into the BI modeling and dashboard layer.

Omni is a BI platform building AI throughout the stack: a Modeling Agent, an AI Hub now reaching GA, Markdown columns, and tooling to govern AI context usage. Alongside the AI push it is maturing its API surface (token management, schema refreshes), embedding, compute routing, and localization.

Read the full Omni trajectory →

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 →

Omni vs Count: editorial side-by-side

O
Omni
ANALYTICS
5.0

Omni is steadily folding AI agents into the BI modeling and dashboard layer.

◆ Current state

Omni is a BI platform building AI throughout the stack: a Modeling Agent, an AI Hub now reaching GA, Markdown columns, and tooling to govern AI context usage. Alongside the AI push it is maturing its API surface (token management, schema refreshes), embedding, compute routing, and localization.

◆ Where it's heading

The cadence is weekly and incremental, but the direction is consistent: make the semantic model and dashboards agent-operable while giving admins controls (access grants, context management, API tokens) to govern that AI usage. Compute routing and localization suggest a move upmarket toward larger, multi-region deployments.

◆ Prediction

Expect more Modeling Agent skills and AI Hub capabilities to graduate from beta to GA, given the steady graduation pattern in these releases, with continued investment in governance controls around AI access.

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.

Alternatives to Omni and Count

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 Omni or Count.

See all Omni alternatives → · See all Count alternatives →

Recent activity from Omni and Count

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

  1. 5d agoCountConnect external MCP servers to the Count agent
  2. 15d agoOmniAI Hub and Markdown columns reach GA; gated AI skills
  3. 19d agoCountDashed lines
  4. 22d agoOmniCompute routing, calculated-field drilling, and CLI OAuth
  5. 29d agoOmniSchema refresh improvements and API expansion
  6. 1mo agoCountNew workspace home
  7. 1mo agoOmniDashboard editor updates and new Modeling Agent skills
  8. 1mo agoOmniAI context-usage controls and API token management
  9. 1mo agoCountClickHouse support
  10. 1mo agoOmniAI integration release with context management and localization
  11. 2mo agoCountMajor Count agent upgrade: edits any cell, runs in Slack
  12. 2mo agoCountPublic API and MCP server

Frequently asked questions

What is the difference between Omni and Count?

They serve adjacent needs but don't currently overlap on shipped themes. Count is currently shipping more aggressively (velocity 6.3 vs 5.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Omni better than Count?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Count is currently shipping more aggressively (velocity 6.3 vs 5.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

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.

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.