Apache Superset
Superset's public feed is release plumbing — with an extensions architecture taking shape underneath
A side-by-side editorial comparison of Survicate and Countly — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Survicate | Countly |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 3.8 | 5.0 |
| Sparks · 30d | 1 | 0 |
| Top themes | customer-research, feedback-platform, ai-insights, research-hub | product-analytics, security-hardening, enterprise, dual-release-line |
| Last editorial update | 18d ago | 1d ago |
| Website | — | Visit → |
Survicate pivots from survey tool to AI-native research platform with Research Hub.
On May 22, 2026, Survicate replaced Insights Hub with Research Hub — a project-based workspace that connects surveys, support tickets, call transcripts, app reviews, and 15+ other feedback sources, producing stakeholder-ready AI-generated reports where every claim links back to the exact feedback it came from. A Research Assistant grounded in the project's own sources handles follow-ups; insights surface and are tracked over time. The prior months show steady survey-craft improvements: in-survey language selectors (March), custom fonts (March), response attributes (March), light/dark theme support (Feb), team-invite role bundling (Feb), and an alternative CSAT calculation (Feb).
Countly runs a sustained security-hardening pass across its 24.05 and 25.03 lines
Countly's recent releases are dominated by security and stability work: a bug-bounty-style hardening pass closing cross-app metric exfiltration, MongoDB operator injection, path traversal, SSRF, and session-fixation vectors (24.05.50, 25.03.44), alongside routine core and enterprise bug fixes. Enterprise additions are narrow, such as AD/LDAP journey approver groups.
On May 22, 2026, Survicate replaced Insights Hub with Research Hub — a project-based workspace that connects surveys, support tickets, call transcripts, app reviews, and 15+ other feedback sources, producing stakeholder-ready AI-generated reports where every claim links back to the exact feedback it came from. A Research Assistant grounded in the project's own sources handles follow-ups; insights surface and are tracked over time. The prior months show steady survey-craft improvements: in-survey language selectors (March), custom fonts (March), response attributes (March), light/dark theme support (Feb), team-invite role bundling (Feb), and an alternative CSAT calculation (Feb).
The directional move is clear — from "survey tool" to AI-native research platform. The earlier Research Assistant work in January and February was the stepping stone; Research Hub is the destination, and the rebrand from Insights Hub signals the team treating this as a category move, not a feature add. Survey-builder work continues but now reads as table-stakes maintenance underneath the new platform layer.
Expect Research Hub to grow new source integrations (sales-call platforms, support systems beyond ticket text) and pre-built templates for common B2B-SaaS research patterns — churn analysis, win/loss, NPS driver mining. Deeper report sharing and distribution would put Survicate directly in Dovetail and Sprig's path.
Countly's recent releases are dominated by security and stability work: a bug-bounty-style hardening pass closing cross-app metric exfiltration, MongoDB operator injection, path traversal, SSRF, and session-fixation vectors (24.05.50, 25.03.44), alongside routine core and enterprise bug fixes. Enterprise additions are narrow, such as AD/LDAP journey approver groups.
The concentration of coordinated security fixes across both the 24.05 line and the current 25.03 line signals a deliberate hardening cycle, likely following an audit. Feature work is incremental; correctness and security are the current priority.
Expect continued security and stability fixes backported across both lines, with incremental enterprise additions in journeys and data-manager.
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 Survicate or Countly.
Superset's public feed is release plumbing — with an extensions architecture taking shape underneath
Holistics doubles down on agentic, code-native BI while courting Power BI defectors
Whatagraph is quietly building a data layer beneath its agency reporting tool.
Cluvio keeps sharpening the SQL-analyst workflow, and now lets you query files without a database.
Fulcrum hardens its field-collection core with cross-platform tracking and map fixes
Geckoboard is refining the dashboard itself — more filtering control and faster data.
See all Survicate alternatives → · See all Countly alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
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 1. 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. Countly is currently shipping more aggressively (velocity 5.0 vs 3.8), with 0 editorial sparks in the last 30 days against 1. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top Survicate alternatives in Analytics are ranked by recent ship velocity. Browse the "Survicate alternatives" section above for the current picks, or visit /alternatives/survicate for the full list with editorial commentary on each.
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 for the full list with editorial commentary on each.