Lightdash
Lightdash ships AI-described custom chart types and a content governance overhaul in one week
A side-by-side editorial comparison of Plausible and ThingsBoard — release velocity, themes, recent moves, and the top alternatives to consider.
Plausible builds a dedicated AI referral channel as ChatGPT and Claude become measurable traffic sources
Plausible has been steadily expanding its funnel analysis capabilities: strict-order funnels, time-comparison across periods, revenue tracking in funnels, and now flexible funnels form a coherent analytics arc. The AI Assistants channel—tracking ChatGPT, Claude, Gemini, Perplexity, and others as distinct referrers—and traffic annotations address structurally new user needs that emerged from shifts in how web traffic originates. User journeys rounds out the analysis toolkit with path visualization.
ThingsBoard patches aggressively across two release lines while quietly adding IoT Hub and AI model support.
ThingsBoard is in sustained patch mode across 4.2.x (LTS) and 4.3.x (current), resolving dozens of CVEs per release cycle. Beneath the security churn, the 4.3.x line has accumulated real additions since spring: IoT Hub integration, AI model structured output support for multiple providers, LZ4 Kafka compression, automatic SSL cert reload without restarts, and an HTML container widget. The dual-track model shows an enterprise customer base that demands long-term stability alongside continuous development.
Plausible has been steadily expanding its funnel analysis capabilities: strict-order funnels, time-comparison across periods, revenue tracking in funnels, and now flexible funnels form a coherent analytics arc. The AI Assistants channel—tracking ChatGPT, Claude, Gemini, Perplexity, and others as distinct referrers—and traffic annotations address structurally new user needs that emerged from shifts in how web traffic originates. User journeys rounds out the analysis toolkit with path visualization.
Plausible is extending its 'simple but complete' posture into territory where GA4 is genuinely weak: nuanced funnel types, AI referral attribution, and user path analysis without requiring tag-heavy JavaScript. The funnel features are converging toward a full conversion-analysis toolkit while the product retains its privacy-first, lightweight identity. Each addition addresses a real gap rather than feature-matching.
Expect further expansion of AI Assistants reporting—more granular source attribution or AI-search-specific conversion tracking—as AI chatbot traffic becomes a meaningful segment for more sites.
ThingsBoard is in sustained patch mode across 4.2.x (LTS) and 4.3.x (current), resolving dozens of CVEs per release cycle. Beneath the security churn, the 4.3.x line has accumulated real additions since spring: IoT Hub integration, AI model structured output support for multiple providers, LZ4 Kafka compression, automatic SSL cert reload without restarts, and an HTML container widget. The dual-track model shows an enterprise customer base that demands long-term stability alongside continuous development.
The parallel LTS and current release trains signal a maturing platform with paying enterprise customers who cannot absorb breaking changes. The AI model integration thread — structured outputs, Vertex AI location routing — suggests ThingsBoard is building a rule-engine layer that can route telemetry decisions through LLMs, not just static rules. This points toward an edge-to-AI data fabric positioning rather than dashboarding alone.
The next substantive release will likely deepen the AI rule-engine integration with more providers or an agent-style action node. The IoT Hub connector introduced in 4.3.1.3 will likely be backported to 4.2.x once stabilized. Security patch cadence will continue regardless.
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 Plausible or ThingsBoard.
Lightdash ships AI-described custom chart types and a content governance overhaul in one week
OpenHouse's Iceberg view support hits a production compatibility snag, pausing the first major scope expansion
dbt 2.0 ships — proprietary binary forks from dbt-oss as AI agent skills land
Keboola's AI data assistant Kai reaches GA for multi-tenant customers, with MCP one-click login simplifying AI tool access across projects.
Hex's chat agent can now build and publish Hex projects — analytics is going fully agentic.
Cribl Stream patches five 4.20.0 regressions while quietly shrinking its SDK surface.
See all Plausible alternatives → · See all ThingsBoard alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Plausible and ThingsBoard 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Plausible and ThingsBoard 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.
Top Plausible alternatives in Analytics are ranked by recent ship velocity. Browse the "Plausible alternatives" section above for the current picks, or visit /alternatives/plausible for the full list with editorial commentary on each.
Top ThingsBoard alternatives in Analytics are ranked by recent ship velocity. Browse the "ThingsBoard alternatives" section above for the current picks, or visit /alternatives/thingsboard for the full list with editorial commentary on each.