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Comparison · Analytics
Countly vs Pirsch Analytics
A side-by-side editorial comparison of Countly and Pirsch Analytics — release velocity, themes, recent moves, and the top alternatives to consider.
Countly vs Pirsch Analytics: at a glance
| Feature | Countly | Pirsch Analytics |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 5.0 | 3.8 |
| Sparks · 30d | 0 | 0 |
| Top themes | product-analytics, self-hosted, security-patches, access control | privacy analytics, bot filtering, maintenance, dashboards |
| Last editorial update | 15h ago | 6mo ago |
| Website | Visit → | — |
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.
What is Pirsch Analytics?
Pirsch ships a tight maintenance cadence — bot filtering, dashboard polish, and dependency hygiene.
Pirsch is releasing every few days with very small payloads. The April cluster centers on bot detection — improved filters in 2.14.10 and 2.14.12, plus a referrer-parameter bot fix in 2.14.11. March added dashboard creation settings, an option to hide the UTM panel, expiration times on access links, and a referrer blacklist update. Earlier in February, email reports gained a start date and the Fathom Analytics importer was updated.
Countly vs Pirsch Analytics: editorial side-by-side
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.
Pirsch Analytics
3.8ANALYTICS
Pirsch ships a tight maintenance cadence — bot filtering, dashboard polish, and dependency hygiene.
◆ Current state
Pirsch is releasing every few days with very small payloads. The April cluster centers on bot detection — improved filters in 2.14.10 and 2.14.12, plus a referrer-parameter bot fix in 2.14.11. March added dashboard creation settings, an option to hide the UTM panel, expiration times on access links, and a referrer blacklist update. Earlier in February, email reports gained a start date and the Fathom Analytics importer was updated.
◆ Where it's heading
Pirsch is in steady operational mode — defending against bots, polishing dashboard surfaces, and keeping dependencies current. The Fathom importer updates and email-report work are the only signs of growth-oriented investment; otherwise the cadence is custodial. The product feels like it's competing on reliability and privacy rather than feature surface.
◆ Prediction
Expect bot-filter work to continue (this is an arms race for any analytics provider) and the Fathom importer to keep getting attention as Fathom users churn. Larger directional moves aren't visible in the feed; the next signal would be a real new product surface — funnels v2, server-side eventing, or an AI insights panel.
Alternatives to Countly and Pirsch Analytics
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 Countly or Pirsch Analytics.
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 Countly alternatives → · See all Pirsch Analytics alternatives →
Recent activity from Countly and Pirsch Analytics
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 17h agoCountlyCountly 25.03.59: Node 26, MongoDB 9, app scoping fixes
- 15d 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
- 1mo agoCountlyCountly 25.03.55: throttled active-user refresh, explicit DB names
- 6mo agoPirsch Analyticsv2.14.12: improved bot filters
- 6mo agoPirsch Analyticsv2.14.11: fix bot filtering by referrer parameter
- 6mo agoPirsch Analyticsv2.14.10: bot filter improvements and graph fix
- 8mo agoPirsch Analyticsv2.14.9: referrer blacklist update
- 8mo agoPirsch Analyticsv2.14.8: fix account deletion with pinned dashboards
- 8mo agoPirsch Analyticsv2.14.7: dashboard settings, UTM panel toggle, link expiration
Frequently asked questions
What is the difference between Countly and Pirsch Analytics?
They serve adjacent needs but don't currently overlap on shipped themes. Countly is currently shipping more aggressively (velocity 5.0 vs 3.8), with 0 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 Countly better than Pirsch Analytics?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Countly is currently shipping more aggressively (velocity 5.0 vs 3.8), with 0 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 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.
What are the best alternatives to Pirsch Analytics?
Top Pirsch Analytics alternatives in Analytics are ranked by recent ship velocity. Browse the "Pirsch Analytics alternatives" section above for the current picks, or visit /alternatives/pirsch for the full list with editorial commentary on each.