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Comparison · Analytics
AgencyAnalytics vs Countly
A side-by-side editorial comparison of AgencyAnalytics and Countly — release velocity, themes, recent moves, and the top alternatives to consider.
AgencyAnalytics vs Countly: at a glance
What is AgencyAnalytics?
AgencyAnalytics' MCP server can now compare up to 10 clients in one prompt.
AgencyAnalytics publishes weekly product notes. Recent weeks added dark mode, per-row Custom Metrics, more row-level comparisons, new ad and email sources, SE Ranking's AI Results Tracker data and, in mid-October, write actions for its MCP server. The 9 November note lets one MCP prompt compare up to 10 named clients, each counting as its own request against the rate limit.
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.
AgencyAnalytics vs Countly: editorial side-by-side
AgencyAnalytics
5.0ANALYTICS
AgencyAnalytics' MCP server can now compare up to 10 clients in one prompt.
◆ Current state
AgencyAnalytics publishes weekly product notes. Recent weeks added dark mode, per-row Custom Metrics, more row-level comparisons, new ad and email sources, SE Ranking's AI Results Tracker data and, in mid-October, write actions for its MCP server. The 9 November note lets one MCP prompt compare up to 10 named clients, each counting as its own request against the rate limit.
◆ Where it's heading
Two threads run in parallel: more data sources in reports, and an MCP server that is growing from read-only to write actions to multi-client questions. The AI assistant is becoming a second way to work across an agency's whole book, not just one client at a time.
◆ Prediction
Expect the MCP limits to loosen further, for example broader 'all clients' queries or higher caps, since this note already explains why those still don't run.
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 AgencyAnalytics 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 AgencyAnalytics 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 AgencyAnalytics alternatives → · See all Countly alternatives →
Recent activity from AgencyAnalytics and Countly
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 17h agoCountlyCountly 25.03.59: Node 26, MongoDB 9, app scoping fixes
- 4d agoAgencyAnalyticsCompare up to 10 clients in a single MCP prompt
- 8d agoAgencyAnalyticsSE Ranking: AI Results Tracker data
- 14d agoAgencyAnalyticsDark mode, a fresh chart palette, Custom Metrics in tables, and more
- 14d agoCountlyCountly 24.05.55: token rules backported, Node 22 move
- 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
- 22d agoAgencyAnalyticsHighLevel email campaign data, row-level comparison across more data sources, and more
- 22d agoAgencyAnalyticsQuantcast is now available
- 25d agoAgencyAnalyticsNew Google Analytics dimensions: File Name and Link URL
- 1mo agoCountlyCountly 25.03.55: throttled active-user refresh, explicit DB names
Frequently asked questions
What is the difference between AgencyAnalytics and Countly?
They serve adjacent needs but don't currently overlap on shipped themes. AgencyAnalytics and Countly are shipping at a similar cadence (velocity 5.0 vs 5.0, 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 AgencyAnalytics better than Countly?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. AgencyAnalytics and Countly are shipping at a similar cadence (velocity 5.0 vs 5.0, 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 AgencyAnalytics?
Top AgencyAnalytics alternatives in Analytics are ranked by recent ship velocity. Browse the "AgencyAnalytics alternatives" section above for the current picks, or visit /alternatives/agencyanalytics 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.