Apache Superset
Superset's public feed is release plumbing — with an extensions architecture taking shape underneath
Comparison · Analytics
Cube vs Countly
A side-by-side editorial comparison of Cube and Countly — release velocity, themes, recent moves, and the top alternatives to consider.
Cube vs Countly: at a glance
| Feature | Cube | Countly |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 6.3 | 5.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | semantic layer, embedded analytics, ai agents, governance | product-analytics, security-hardening, enterprise, dual-release-line |
| Last editorial update | 1mo ago | 1d ago |
| Website | — | Visit → |
What is Cube?
Cube ships Creator Mode and a Slack agent — embedded BI and agent surfaces in the same month.
Cube is shipping weekly across three coherent fronts: AI agent surfaces (Slack Agent for ad-hoc questions, Analytics Chat under the hood), embedded analytics (Creator Mode lets customers embed the full Cube app, not just dashboards), and the semantic-layer fundamentals (calculated fields in Explore/Workbook, workbook versions, custom chart palettes, refined filtering). Earlier in the period, data masking, the Viewer role, and scheduled-screenshot notifications rounded out the governance and distribution story.
What is Countly?
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.
Cube vs Countly: editorial side-by-side
Cube
6.3ANALYTICS
Cube ships Creator Mode and a Slack agent — embedded BI and agent surfaces in the same month.
◆ Current state
Cube is shipping weekly across three coherent fronts: AI agent surfaces (Slack Agent for ad-hoc questions, Analytics Chat under the hood), embedded analytics (Creator Mode lets customers embed the full Cube app, not just dashboards), and the semantic-layer fundamentals (calculated fields in Explore/Workbook, workbook versions, custom chart palettes, refined filtering). Earlier in the period, data masking, the Viewer role, and scheduled-screenshot notifications rounded out the governance and distribution story.
◆ Where it's heading
Two compounding bets: (1) the semantic layer + AI agent combination is the moat — every release deepens what an agent or human can do over governed data without writing SQL, and (2) embedding goes from "put a dashboard in your app" to "give your users a full BI app inside your product." These are complementary — Creator Mode is more compelling when the embedded experience can also answer questions in Slack and self-heal queries with calculated fields.
◆ Prediction
Expect Creator Mode to grow more embedding controls (white-labeling, role mapping, audit) since it's positioned for ISVs serving downstream customers. The Slack Agent likely gets siblings (Teams, in-app chat) and tighter wiring to dashboards so an agent can produce a chart, save it, and share it back. Calculated Fields expansion (filtered measures, more types) is already telegraphed in the release notes.
Countly
5.0ANALYTICS
Countly runs a sustained security-hardening pass across its 24.05 and 25.03 lines
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
Expect continued security and stability fixes backported across both lines, with incremental enterprise additions in journeys and data-manager.
Alternatives to Cube 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 Cube or Countly.
Holistics
Holistics doubles down on agentic, code-native BI while courting Power BI defectors
Whatagraph
Whatagraph is quietly building a data layer beneath its agency reporting tool.
Cluvio
Cluvio keeps sharpening the SQL-analyst workflow, and now lets you query files without a database.
Fulcrum
Fulcrum hardens its field-collection core with cross-platform tracking and map fixes
Geckoboard
Geckoboard is refining the dashboard itself — more filtering control and faster data.
See all Cube alternatives → · See all Countly alternatives →
Recent activity from Cube and Countly
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4d agoCountlyv25.03.46: security fixes, AD/LDAP journey approver group
- 13d agoCountlyv25.03.45: core, jobs and groups correctness fixes
- 21d agoCountlyv25.03.44: close exfiltration and injection vectors
- 21d agoCountlyv24.05.50: bug-bounty security backport
- 1mo agoCubeCustom chart palettes
- 1mo agoCubeCreator Mode: embed the full Cube application ⚡
- 1mo agoCountlyCountly Version 25.03.43
- 1mo agoCubeSlack Agent Anyone in your Slack workspace can now send a direct message to the Cube app and get AI-powered answers from the Analytics Ch…
- 1mo agoCountlyCountly Version 24.05.49
- 1mo agoCubeFilters Update The filtering experience across Explore, Workbooks, and Dashboards has been updated.
- 2mo agoCubeWorkbooks Versions With workbook versions, users can roll back changes to their workbooks and restore the state of the workbook as it was…
- 2mo agoCubeCalculated Fields Calculated fields let you define query-level calculations — such as custom measures or dimensions — directly from the E…
Frequently asked questions
What is the difference between Cube and Countly?
They serve adjacent needs but don't currently overlap on shipped themes. Cube is currently shipping more aggressively (velocity 6.3 vs 5.0), 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 Cube better than Countly?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Cube is currently shipping more aggressively (velocity 6.3 vs 5.0), 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 Cube?
Top Cube alternatives in Analytics are ranked by recent ship velocity. Browse the "Cube alternatives" section above for the current picks, or visit /alternatives/cube 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 for the full list with editorial commentary on each.