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Mode Analytics vs Countly

A side-by-side editorial comparison of Mode Analytics and Countly — release velocity, themes, recent moves, and the top alternatives to consider.

Mode Analytics vs Countly: at a glance

FeatureMode AnalyticsCountly
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesbusiness intelligence, snowflake, oauth, data governanceproduct-analytics, self-hosted, security-patches, access control
Last editorial update12d ago15h ago
Website—Visit →

What is Mode Analytics?

Mode resurfaces after almost five quiet months with per-user Snowflake sign-in

After the spreadsheet mode in April, this feed shows nothing until September, when Mode added OAuth and OAuth with PKCE for Snowflake. Each user now signs in with their own Snowflake credentials, including SSO, and queries run under that user's permissions. Earlier 2026 work still defines the product: spreadsheets with 70+ formulas beside SQL and Python, cross-source Data Mashup, and a refreshed SQL editor.

Read the full Mode Analytics trajectory →

What is Countly?

Countly 25.03.59 defaults to Node 26, supports MongoDB 9 and tightens app scoping.

Countly 25.03.59 on November 13 is a large LTS patch. Clean installs and Docker images move to Node.js 26 and MongoDB 9.0, with older versions still working, and arm64 Docker images arrive. Security fixes tighten which apps a scoped token or member can reach across exports, dashboards, alerts and data tools, and wrong two-factor codes now count toward lockout.

Read the full Countly trajectory →

Mode Analytics vs Countly: editorial side-by-side

M0.0

Mode resurfaces after almost five quiet months with per-user Snowflake sign-in

◆ Current state

After the spreadsheet mode in April, this feed shows nothing until September, when Mode added OAuth and OAuth with PKCE for Snowflake. Each user now signs in with their own Snowflake credentials, including SSO, and queries run under that user's permissions. Earlier 2026 work still defines the product: spreadsheets with 70+ formulas beside SQL and Python, cross-source Data Mashup, and a refreshed SQL editor.

◆ Where it's heading

Mode's 'one workspace for SQL, Python and spreadsheets' position stands, but the pace on this feed has slowed sharply. The Snowflake change is a governance move, replacing a shared service account with warehouse-level permissions per user, which continues the earlier admin work. It adds no analyst-facing capability.

◆ Prediction

The single entry since April gives little to project from. OAuth for other warehouses would be the natural follow-up, but the feed does not confirm it.

C
Countly
ANALYTICS
5.0

Countly 25.03.59 defaults to Node 26, supports MongoDB 9 and tightens app scoping.

◆ Current state

Countly 25.03.59 on November 13 is a large LTS patch. Clean installs and Docker images move to Node.js 26 and MongoDB 9.0, with older versions still working, and arm64 Docker images arrive. Security fixes tighten which apps a scoped token or member can reach across exports, dashboards, alerts and data tools, and wrong two-factor codes now count toward lockout.

◆ Where it's heading

Countly is still mostly hardening access control, carrying the token-scoping work from 25.03.58 into every plugin that reads or changes app data. At the same time it keeps the self-hosted stack on current runtimes.

◆ Prediction

Expect a 24.05 patch that backports these scoping fixes, as 24.05.55 did after 25.03.58.

Alternatives to Mode Analytics 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 Mode Analytics or Countly.

See all Mode Analytics alternatives → · See all Countly alternatives →

Recent activity from Mode Analytics and Countly

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 17h agoCountlyCountly 25.03.59: Node 26, MongoDB 9, app scoping fixes
  2. 15d agoCountlyCountly 24.05.55: token rules backported, Node 22 move
  3. 17d agoCountlyCountly 25.03.58: token scoping, revocation and access fixes
  4. 19d agoCountlyCountly 25.03.57-LTS distrusts emSign roots, fixes A/B setup
  5. 21d agoCountlyCountly 25.03.56-LTS: Node CVE patch, licence overdue banner
  6. 1mo agoCountlyCountly 25.03.55: throttled active-user refresh, explicit DB names
  7. 1mo agoMode AnalyticsOAuth support for Snowflake
  8. 6mo agoMode AnalyticsNative spreadsheet mode lands in Mode reports ⚡
  9. 8mo agoMode AnalyticsWhite Label Embeds : Per-Visualization Data Downloads
  10. 8mo agoMode AnalyticsData Mashup enables cross-source SQL joins in one report ⚡
  11. 9mo agoMode AnalyticsNew and Improved SQL Editor
  12. 1y agoMode AnalyticsIntroducing Shareable Report Views

Frequently asked questions

What is the difference between Mode Analytics and Countly?

They serve adjacent needs but don't currently overlap on shipped themes. Countly is currently shipping more aggressively (velocity 5.0 vs 0.0), 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 Mode Analytics better than Countly?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Countly is currently shipping more aggressively (velocity 5.0 vs 0.0), 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 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.

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.