← Back to home
Comparison · Analytics

Countly vs Count

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

Countly vs Count: at a glance

FeatureCountlyCount
SectorAnalyticsAnalytics
Velocity score5.06.3
Sparks · 30d01
Top themessecurity-hardening, nosql-injection, journey-engine, enterprise-governanceagentic-analytics, mcp, public-api, warehouse-connectors
Last editorial update6d ago3d ago
WebsiteVisit →Visit →

What is Countly?

Countly is deep in a methodical security-hardening pass, features trickling in around it.

Countly's recent releases blend routine bugfixing with a sustained security campaign — stripping dangerous Mongo operators from user-supplied queries, closing cross-app metric exfiltration via alert configs, and fixing path-traversal in user exports. Enterprise features (AD/LDAP journey approver groups, data-manager value filtering, a journey result tab) trickle in alongside.

Read the full Countly trajectory →

What is Count?

Count is turning its BI canvas into a governed, agent-operated analytics platform.

Count is a data-canvas analytics tool reorganizing itself around an AI agent. In two months it shipped a full public REST API and hosted MCP server (governed agent access via OAuth and service accounts), a major agent upgrade that lets the agent read and edit the entire canvas and answer from Slack, and the ability to plug external MCP servers (Linear, HubSpot, Stripe, Slack, Drive) into the agent. Around the agent it keeps broadening warehouse support—ClickHouse, Snowflake semantic models, OSI—alongside chart and UX polish.

Read the full Count trajectory →

Countly vs Count: editorial side-by-side

C
Countly
ANALYTICS
5.0

Countly is deep in a methodical security-hardening pass, features trickling in around it.

◆ Current state

Countly's recent releases blend routine bugfixing with a sustained security campaign — stripping dangerous Mongo operators from user-supplied queries, closing cross-app metric exfiltration via alert configs, and fixing path-traversal in user exports. Enterprise features (AD/LDAP journey approver groups, data-manager value filtering, a journey result tab) trickle in alongside.

◆ Where it's heading

The product is in mature-maintenance mode with security as the throughline: several consecutive versions, including a backport to the older 24.05 line, read like a methodical bug-bounty remediation pass. Feature work centers on the journey engine and enterprise governance rather than net-new analytics surface.

◆ Prediction

Expect continued security backports across supported versions and incremental journey-engine and data-manager enhancements rather than a major capability launch.

C
Count
ANALYTICS
6.3

Count is turning its BI canvas into a governed, agent-operated analytics platform.

◆ Current state

Count is a data-canvas analytics tool reorganizing itself around an AI agent. In two months it shipped a full public REST API and hosted MCP server (governed agent access via OAuth and service accounts), a major agent upgrade that lets the agent read and edit the entire canvas and answer from Slack, and the ability to plug external MCP servers (Linear, HubSpot, Stripe, Slack, Drive) into the agent. Around the agent it keeps broadening warehouse support—ClickHouse, Snowflake semantic models, OSI—alongside chart and UX polish.

◆ Where it's heading

Count is building toward analytics where agents are first-class operators: a governed API/MCP layer for access, an agent that drives the canvas end to end, external tool reach via MCP, and connection-level context so guidance is captured once and inherited. Governance—permissions, scopes, service accounts—is the enabling layer that makes agent access acceptable in real data stacks rather than a bolt-on.

◆ Prediction

Expect more connection- and warehouse-level context controls, a widening catalog of supported external MCP integrations, and deeper Slack-native agent workflows.

Alternatives to Countly and Count

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 Count.

See all Countly alternatives → · See all Count alternatives →

Recent activity from Countly and Count

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

  1. 6d agoCountlyv25.03.47: content fixes, query validation, journey result tab
  2. 7d agoCountConnect external MCP servers to the Count agent
  3. 13d agoCountlyv25.03.46: security fixes, AD/LDAP journey approver groups
  4. 21d agoCountDashed lines
  5. 22d agoCountlyv25.03.45: validation and aggregation bugfixes
  6. 1mo agoCountlyv25.03.44: NoSQL-injection and cross-app exfiltration hardening
  7. 1mo agoCountlyv24.05.50: backported auth and dashboard security hardening
  8. 1mo agoCountNew workspace home
  9. 1mo agoCountClickHouse support
  10. 1mo agoCountlyv25.03.43: enterprise flow query optimization, dependency bumps
  11. 2mo agoCountMajor Count agent upgrade: edits any cell, runs in Slack
  12. 2mo agoCountPublic API and MCP server

Frequently asked questions

What is the difference between Countly and Count?

They serve adjacent needs but don't currently overlap on shipped themes. Count is currently shipping more aggressively (velocity 6.3 vs 5.0), with 1 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 Count?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Count is currently shipping more aggressively (velocity 6.3 vs 5.0), with 1 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 for the full list with editorial commentary on each.

What are the best alternatives to Count?

Top Count alternatives in Analytics are ranked by recent ship velocity. Browse the "Count alternatives" section above for the current picks, or visit /alternatives/count for the full list with editorial commentary on each.