RStudio
RStudio's first October patch is a branch merge, extending a long run of release-train upkeep.
Comparison · Analytics
Countly vs Mode Analytics
A side-by-side editorial comparison of Countly and Mode Analytics — release velocity, themes, recent moves, and the top alternatives to consider.
Countly vs Mode Analytics: at a glance
| Feature | Countly | Mode Analytics |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 5.0 | 2.5 |
| Sparks · 30d | 0 | 0 |
| Top themes | product-analytics, self-hosted, security-patches, api tokens | business intelligence, spreadsheet ui, cross-source joins, sql editor |
| Last editorial update | 1d ago | 5mo ago |
| Website | Visit → | — |
What is Countly?
Countly 25.03.58 tightens API tokens, sessions and login lockouts in one security patch.
Countly 25.03.58 is a security-heavy patch for the 25.03 line. App-restricted tokens must now declare their permissions, password changes and member lockouts revoke tokens, single-use tokens and reset links work once even under concurrency, and login failures count per account regardless of username casing. It also tightens access to dashboards, dbviewer and exports, and fixes file migration, remote-config targeting and star-rating widgets.
What is Mode Analytics?
Mode is converging spreadsheets, SQL, Python, and cross-source joins into one analyst surface.
Mode is making its core report editor more flexible and analyst-friendly: a native Excel-style spreadsheet mode with 70+ formulas alongside SQL and Python, a Data Mashup capability for cross-warehouse joins without ETL, a substantially overhauled SQL editor, shareable filtered URLs, and granular per-viz downloads in white-label embeds. Admin-side governance has kept pace with admin-managed refresh schedules and automated data retention policies.
Countly vs Mode Analytics: editorial side-by-side
Countly
5.0ANALYTICS
Countly 25.03.58 tightens API tokens, sessions and login lockouts in one security patch.
◆ Current state
Countly 25.03.58 is a security-heavy patch for the 25.03 line. App-restricted tokens must now declare their permissions, password changes and member lockouts revoke tokens, single-use tokens and reset links work once even under concurrency, and login failures count per account regardless of username casing. It also tightens access to dashboards, dbviewer and exports, and fixes file migration, remote-config targeting and star-rating widgets.
◆ Where it's heading
The 25.03 LTS line keeps absorbing security work at a fast clip: an upstream Node CVE, certificate distrust, and now a sweep of Countly's own token and permission model. Feature work stays in enterprise licensing and journeys, while LTS releases mostly harden what exists.
◆ Prediction
Expect a matching 24.05 backport of the token and permission fixes. Token owners may also need migration guidance, since existing app-restricted tokens without permissions are now limited to their owner's rights.
Mode Analytics
2.5ANALYTICS
Mode is converging spreadsheets, SQL, Python, and cross-source joins into one analyst surface.
◆ Current state
Mode is making its core report editor more flexible and analyst-friendly: a native Excel-style spreadsheet mode with 70+ formulas alongside SQL and Python, a Data Mashup capability for cross-warehouse joins without ETL, a substantially overhauled SQL editor, shareable filtered URLs, and granular per-viz downloads in white-label embeds. Admin-side governance has kept pace with admin-managed refresh schedules and automated data retention policies.
◆ Where it's heading
Mode is doubling down on the 'one workspace for SQL, Python, and spreadsheets' positioning at a moment when most BI tools are picking a lane. The cross-source Data Mashup is the more strategic bet — it positions Mode as a thin governance/analysis layer sitting above multiple warehouses, useful in shops with fragmented data infrastructure. White-label embedding work hints at continued investment in the analytics-for-customers segment.
◆ Prediction
Expect AI/copilot features to layer onto the new SQL editor and spreadsheet surfaces (natural-language query, formula suggestion), and Data Mashup to graduate from invite-only to GA with notebook-output and CSV/Excel sources following. White-label embeds are a likely target for richer customer-facing interactivity given Mode's product-analytics-embed customer base.
Alternatives to Countly and Mode Analytics
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 Countly or Mode Analytics.
OpenReplay
OpenReplay moves its Go backend to pgx v5 and patches vulnerable deps across 1.25–1.27.
Basedash
Basedash automations can now attach scheduled CSV exports to Slack and email.
OpenPanel
OpenPanel tags three more note-free builds in one evening, reaching 3.16.4.
Fulcrum
Fulcrum turns on Insights, its AI assistant for field data, for every customer.
Holistics
Holistics lets admins put a key dashboard on everyone's Home page.
See all Countly alternatives → · See all Mode Analytics alternatives →
Recent activity from Countly and Mode Analytics
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoCountlyCountly 25.03.58: token scoping, revocation and access fixes
- 3d agoCountlyCountly 25.03.57-LTS distrusts emSign roots, fixes A/B setup
- 6d agoCountlyCountly 25.03.56-LTS: Node CVE patch, licence overdue banner
- 17d agoCountlyCountly 25.03.55: throttled active-user refresh, explicit DB names
- 29d agoCountly24.05.54: data-manager merge and logging fixes
- 1mo agoCountly25.03.54: License v2 entitlements and journey charts
- 6mo agoMode AnalyticsNative spreadsheet mode lands in Mode reports ⚡
- 8mo agoMode AnalyticsWhite Label Embeds : Per-Visualization Data Downloads
- 8mo agoMode AnalyticsData Mashup enables cross-source SQL joins in one report ⚡
- 8mo agoMode AnalyticsNew and Improved SQL Editor
- 11mo agoMode AnalyticsIntroducing Shareable Report Views
- 1y agoMode AnalyticsImport Notebook files directly
Frequently asked questions
What is the difference between Countly and Mode Analytics?
They serve adjacent needs but don't currently overlap on shipped themes. Countly is currently shipping more aggressively (velocity 5.0 vs 2.5), 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 Countly better than Mode Analytics?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Countly is currently shipping more aggressively (velocity 5.0 vs 2.5), 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 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-server for the full list with editorial commentary on each.
What are the best alternatives to Mode Analytics?
Top Mode Analytics alternatives in Analytics are ranked by recent ship velocity. Browse the "Mode Analytics alternatives" section above for the current picks, or visit /alternatives/mode for the full list with editorial commentary on each.