Cluvio vs Countly
Side-by-side trajectory, velocity, and editorial themes.
Cluvio keeps sharpening the SQL-analyst workflow, and now lets you query files without a database.
Cluvio is a SQL-first BI tool methodically polishing the analyst loop: chart types, alerting, settings, and exports. The recent run leans heavily toward usability — redesigned preferences with country presets, a clearer datasource picker, and exports that now carry their own context. The one real capability expansion is Static Tables, which lets users query uploaded CSV and Excel files with SQL via an embedded DataFusion engine.
Most recent work tightens existing surfaces rather than opening new ones — the product is maturing its core rather than chasing scope. The exception, querying files without a connected database, points to Cluvio positioning itself for ad-hoc analysis, not only dashboards over warehouses. Expect continued UX consolidation across settings, exports, and pickers, interleaved with occasional capability adds like new chart types.
Likely next moves are further build-out of Static Tables — more file formats or richer joins across uploads — alongside continued chart and alerting polish. The cadence reads as incremental shipping rather than a large directional pivot.
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.
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.
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