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Comparison · Analytics
Pirsch Analytics vs Apache SkyWalking
A side-by-side editorial comparison of Pirsch Analytics and Apache SkyWalking — release velocity, themes, recent moves, and the top alternatives to consider.
Pirsch Analytics vs Apache SkyWalking: at a glance
| Feature | Pirsch Analytics | Apache SkyWalking |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 3.8 | 3.8 |
| Sparks · 30d | 0 | 1 |
| Top themes | privacy analytics, bot filtering, maintenance, dashboards | observability, opentelemetry, apm, banyandb |
| Last editorial update | 6mo ago | 3h ago |
| Website | — | Visit → |
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.
What is Apache SkyWalking?
SkyWalking 11.1 builds service maps from OpenTelemetry traces, no SkyWalking agent required.
Apache SkyWalking spent 2025 and 2026 rebuilding its foundations: BanyanDB replaced H2, the Groovy DSL runtime gave way to ANTLR4 and Javassist, and 11.0.0 split the UI out of the backend. Version 11.1.0, released November 6, stores OTLP traces as they arrive and adds a Trace Analysis Language that turns spans into service, instance and endpoint metrics, topology and dashboards for the databases, caches and queues those services call. Applications instrumented only with OpenTelemetry SDKs now get SkyWalking's dashboards without its agent.
Pirsch Analytics vs Apache SkyWalking: editorial side-by-side
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.
Apache SkyWalking
3.8ANALYTICS
SkyWalking 11.1 builds service maps from OpenTelemetry traces, no SkyWalking agent required.
◆ Current state
Apache SkyWalking spent 2025 and 2026 rebuilding its foundations: BanyanDB replaced H2, the Groovy DSL runtime gave way to ANTLR4 and Javassist, and 11.0.0 split the UI out of the backend. Version 11.1.0, released November 6, stores OTLP traces as they arrive and adds a Trace Analysis Language that turns spans into service, instance and endpoint metrics, topology and dashboards for the databases, caches and queues those services call. Applications instrumented only with OpenTelemetry SDKs now get SkyWalking's dashboards without its agent.
◆ Where it's heading
After taking storage and runtime in-house, SkyWalking is opening its front door to OpenTelemetry data. Its value is shifting from its own agents toward the analysis it runs on any trace source.
◆ Prediction
Expect more TAL coverage and OpenTelemetry quick starts, with SkyWalking's own agents positioned as optional rather than required.
Alternatives to Pirsch Analytics and Apache SkyWalking
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 Pirsch Analytics or Apache SkyWalking.
Calibre
Calibre MCP lets your coding agent read RUM and Lighthouse data, then fix the slow code
Dovetail
Dovetail opens its docs to Claude and ChatGPT as co-authors.
OpenReplay
OpenReplay's feed is Helm chart bumps behind its asset-cacher deny list.
Tinybird
Tinybird shrinks its Local image by a third after a run of observability updates.
OpenHouse
OpenHouse tightens view authorization and moves its optimizer schema to Flyway.
See all Pirsch Analytics alternatives → · See all Apache SkyWalking alternatives →
Recent activity from Pirsch Analytics and Apache SkyWalking
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3d agoApache SkyWalking11.1.0 - Metrics and Topology from OTLP Traces ⚡
- 2mo agoApache SkyWalking11.0.0 - Horizon Ready, Runtime Rule Hot-Update and Live DSL Debugger ⚡
- 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
- 7mo agoApache SkyWalking10.4.0 - GenAI Observability, Groovy-Free Runtime and Grafana Tempo Compatible ⚡
- 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
- 10mo agoApache SkyWalking10.3.0 - New Trace Model in BanyanDB
- 1y agoApache SkyWalking10.2.0 - No H2, More BanyanDB ⚡
Frequently asked questions
What is the difference between Pirsch Analytics and Apache SkyWalking?
They serve adjacent needs but don't currently overlap on shipped themes. Pirsch Analytics and Apache SkyWalking are shipping at a similar cadence (velocity 3.8 vs 3.8, 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 Pirsch Analytics better than Apache SkyWalking?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Pirsch Analytics and Apache SkyWalking are shipping at a similar cadence (velocity 3.8 vs 3.8, 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 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.
What are the best alternatives to Apache SkyWalking?
Top Apache SkyWalking alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache SkyWalking alternatives" section above for the current picks, or visit /alternatives/skywalking for the full list with editorial commentary on each.