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Comparison · Analytics
Apache Superset vs Count
A side-by-side editorial comparison of Apache Superset and Count — release velocity, themes, recent moves, and the top alternatives to consider.
Apache Superset vs Count: at a glance
What is Apache Superset?
Superset's 6.1.0 release vote grinds on while Helm packaging ships on its own cadence
Apache Superset's captured feed splits across two parallel tracks: incremental Helm chart packaging (0.15.3 through 0.16.1) and the drawn-out 6.1.0 core release-candidate vote (rc1 in March, rc3 by May 1). The changelog text carries no feature detail — entries are either packaging version stamps or Apache release-vote emails. Two of the ten entries are mis-crawled GitHub user-profile pages, not releases at all.
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.
Apache Superset vs Count: editorial side-by-side
Apache Superset
5.0ANALYTICS
Superset's 6.1.0 release vote grinds on while Helm packaging ships on its own cadence
◆ Current state
Apache Superset's captured feed splits across two parallel tracks: incremental Helm chart packaging (0.15.3 through 0.16.1) and the drawn-out 6.1.0 core release-candidate vote (rc1 in March, rc3 by May 1). The changelog text carries no feature detail — entries are either packaging version stamps or Apache release-vote emails. Two of the ten entries are mis-crawled GitHub user-profile pages, not releases at all.
◆ Where it's heading
The core release is converging on 6.1.0, with the RC sequence advancing rc1 to rc3 over roughly seven weeks; the Helm chart line moves independently from 0.15.x into 0.16.x. The cadence is steady but unremarkable — maintenance-and-ship-the-next-minor rhythm rather than capability expansion. What 6.1.0 actually changes for users isn't visible in the crawled entries.
◆ Prediction
Expect a 6.1.0 general-availability tag to follow the rc3 vote, alongside continued point releases on the Helm chart. Whether 6.1.0 carries anything directional can't be judged from these entries.
Count
6.3ANALYTICS
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 Apache Superset 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 Apache Superset or Count.
Zoho Analytics
A mature BI platform positioning itself as the data-and-semantic foundation for AI agents across the Zoho suite.
Holistics
Holistics leans into analytics-as-code with agentic dev workflows and a Power BI migration path
Axiom
Axiom completes the logs-traces-metrics triad and bets the product on AI engineering.
NocoDB
NocoDB keeps converging the database, the document, and the project plan into one workspace.
Omni
Omni is steadily folding AI agents into the BI modeling and dashboard layer.
See all Apache Superset alternatives → · See all Count alternatives →
Recent activity from Apache Superset and Count
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11h agoApache SupersetHelm chart 0.16.1 — deployment packaging patch
- 5d agoCountConnect external MCP servers to the Count agent ⚡
- 7d agoApache SupersetHelm chart 0.16.0 — deployment packaging update
- 19d agoCountDashed lines
- 1mo agoCountNew workspace home
- 1mo agoApache SupersetHelm chart 0.15.5 — deployment packaging patch
- 1mo agoApache SupersetSuperset 6.1.0 release candidate 3 (vote)
- 1mo agoCountClickHouse support
- 2mo agoApache SupersetSuperset 6.1.0 release candidate 2 (vote)
- 2mo agoCountMajor Count agent upgrade: edits any cell, runs in Slack ⚡
- 2mo agoApache SupersetMis-crawled GitHub profile page — not a release
- 2mo agoCountPublic API and MCP server ⚡
Frequently asked questions
What is the difference between Apache Superset 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 Apache Superset 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 Apache Superset?
Top Apache Superset alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Superset alternatives" section above for the current picks, or visit /alternatives/apache-superset 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.