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Comparison · Analytics
Count vs Countly
A side-by-side editorial comparison of Count and Countly — release velocity, themes, recent moves, and the top alternatives to consider.
Count vs Countly: at a glance
What is Count?
Count's agent now shows the chain of cells and assumptions behind every answer it gives.
Count is a data-canvas analytics tool organized around an AI agent. Its late-October release added Reasoning Chains, which link each claim and chart in an agent answer back to the cells, sources and assumptions behind it. Over the summer it rebuilt the agent with web data and auto layout, moved Python to a server sandbox with any PyPI package, and added longer agent conversations, a faster empty-canvas start and catalog views that stay populated while they refresh.
What is Countly?
Countly 25.03.59 defaults to Node 26, supports MongoDB 9 and tightens app scoping.
Countly 25.03.59 on November 13 is a large LTS patch. Clean installs and Docker images move to Node.js 26 and MongoDB 9.0, with older versions still working, and arm64 Docker images arrive. Security fixes tighten which apps a scoped token or member can reach across exports, dashboards, alerts and data tools, and wrong two-factor codes now count toward lockout.
Count vs Countly: editorial side-by-side
Count
6.3ANALYTICS
Count's agent now shows the chain of cells and assumptions behind every answer it gives.
◆ Current state
Count is a data-canvas analytics tool organized around an AI agent. Its late-October release added Reasoning Chains, which link each claim and chart in an agent answer back to the cells, sources and assumptions behind it. Over the summer it rebuilt the agent with web data and auto layout, moved Python to a server sandbox with any PyPI package, and added longer agent conversations, a faster empty-canvas start and catalog views that stay populated while they refresh.
◆ Where it's heading
Count is making the agent the main way to work in the canvas, then adding the checks that let people trust its output. Reasoning Chains and server-side Python with managed secrets point at analysis that can be audited and run on real data. Steady fix lists for agent edits show the agent is still being hardened.
◆ Prediction
Expect more ways to inspect and correct agent work, building on Reasoning Chains. The entries don't show whether chains will extend to Slack answers.
Countly
5.0ANALYTICS
Countly 25.03.59 defaults to Node 26, supports MongoDB 9 and tightens app scoping.
◆ Current state
Countly 25.03.59 on November 13 is a large LTS patch. Clean installs and Docker images move to Node.js 26 and MongoDB 9.0, with older versions still working, and arm64 Docker images arrive. Security fixes tighten which apps a scoped token or member can reach across exports, dashboards, alerts and data tools, and wrong two-factor codes now count toward lockout.
◆ Where it's heading
Countly is still mostly hardening access control, carrying the token-scoping work from 25.03.58 into every plugin that reads or changes app data. At the same time it keeps the self-hosted stack on current runtimes.
◆ Prediction
Expect a 24.05 patch that backports these scoping fixes, as 24.05.55 did after 25.03.58.
Alternatives to Count and Countly
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 Countly.
Dovetail
Dovetail lets admins choose which connectors members can plug into the workspace.
Dagster
Dagster drops Python 3.10 and lets agents run schedules and sensors through MCP.
OpenHouse
OpenHouse adds time-zone-aware retention and per-database table caps.
Kubecost
Kubecost cuts three 3.3.2 release candidates in two days, still without notes.
RStudio
RStudio opens the 2026.11 train with another NOTICE file update.
See all Count alternatives → · See all Countly alternatives →
Recent activity from Count and Countly
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 16h agoCountlyCountly 25.03.59: Node 26, MongoDB 9, app scoping fixes
- 14d agoCountlyCountly 24.05.55: token rules backported, Node 22 move
- 15d agoCountReasoning Chains ⚡
- 17d agoCountlyCountly 25.03.58: token scoping, revocation and access fixes
- 19d agoCountlyCountly 25.03.57-LTS distrusts emSign roots, fixes A/B setup
- 21d agoCountlyCountly 25.03.56-LTS: Node CVE patch, licence overdue banner
- 29d agoCountLonger agent conversations
- 1mo agoCountlyCountly 25.03.55: throttled active-user refresh, explicit DB names
- 1mo agoCountNo gaps while catalog views refresh
- 2mo agoCountSSO sign-in banner and clearer SQL Server errors
- 2mo agoCountA faster start from an empty canvas
- 3mo agoCountNew sign-in and sign-up
Frequently asked questions
What is the difference between Count and Countly?
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 Count better than Countly?
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 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 Countly?
Top Countly alternatives in Analytics are ranked by recent ship velocity. Browse the "Countly alternatives" section above for the current picks, or visit /alternatives/countly-server for the full list with editorial commentary on each.