Hex
Hex is rebuilding analytics around an agent — now an MCP client that pulls context from anywhere.
Comparison · Analytics
Umami vs Count
A side-by-side editorial comparison of Umami and Count — release velocity, themes, recent moves, and the top alternatives to consider.
Umami vs Count: at a glance
What is Umami?
Umami v3.1.0 ships custom dashboards and session replay on top of the v3 rewrite.
v3.1.0 is the headline: Boards (custom dashboards composed on a row/column canvas), Session Replay, Web Vitals performance tracking, a redesigned share page, and a long fix list. Underneath sit a December stretch of CVE patches across both v3 and v2 lines (Next.js security update), and the November v3.0.0 launch that established the new UI and architecture.
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.
Umami vs Count: editorial side-by-side
Umami
3.8ANALYTICS
Umami v3.1.0 ships custom dashboards and session replay on top of the v3 rewrite.
◆ Current state
v3.1.0 is the headline: Boards (custom dashboards composed on a row/column canvas), Session Replay, Web Vitals performance tracking, a redesigned share page, and a long fix list. Underneath sit a December stretch of CVE patches across both v3 and v2 lines (Next.js security update), and the November v3.0.0 launch that established the new UI and architecture.
◆ Where it's heading
Umami is moving past privacy-friendly pageview counting toward full product analytics — Boards turns it into a build-your-own dashboard tool, Session Replay adds qualitative behavior data, and Web Vitals brings performance into the same surface. The v3 rewrite was the foundation; v3.1 is where the surface area starts widening.
◆ Prediction
Expect deeper Session Replay tooling next — privacy filters, search/filter across replays, integration with Boards. Funnels and cohort analysis are the natural follow-ons given the dashboard composition primitive. The maintained v2 line will likely shrink to security-only patches.
Count
6.3ANALYTICS
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 Umami 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 Umami or Count.
Fulcrum
Fulcrum is in steady maintenance mode, polishing its field-mapping and mobile data-capture core.
Lightdash
Lightdash keeps sanding down the edges of self-serve BI, chart by chart.
Apify
Apify is rebuilding the Actor platform as MCP-first agent infrastructure.
Apache Superset
Duplicate Apache Superset row — same Helm-chart packaging feed, no distinct product signal
Apache Superset
Superset's public feed is all Helm-chart packaging — the 6.x product work sits behind release votes
Recent activity from Umami and Count
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 16d agoCountConnect external MCP servers to the Count agent ⚡
- 1mo agoCountDashed lines
- 1mo agoCountNew workspace home
- 1mo agoCountClickHouse support
- 2mo agoUmamiv3.1.0 ⚡
- 2mo agoCountMajor Count agent upgrade: edits any cell, runs in Slack ⚡
- 2mo agoUmamiGitHub error page captured
- 2mo agoCountPublic API and MCP server ⚡
- 6mo agoUmamiv3.0.3 — Next.js CVE patch
- 6mo agoUmamiv2.20.2 — Next.js CVE patch (v2 line)
- 6mo agoUmamiv2.20.1 — Next.js CVE follow-up + Docker fix
- 6mo agoUmamiv2.20.0 — Next.js CVE patch
Frequently asked questions
What is the difference between Umami and Count?
They serve adjacent needs but don't currently overlap on shipped themes. Count is currently shipping more aggressively (velocity 6.3 vs 3.8), 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 Umami 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 3.8), 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 Umami?
Top Umami alternatives in Analytics are ranked by recent ship velocity. Browse the "Umami alternatives" section above for the current picks, or visit /alternatives/umami 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.