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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 public feed is all Helm-chart packaging while 6.1 grinds through release-candidate voting.
Apache Superset's recent feed is almost entirely Helm chart releases — eight bumps from 0.15.5 to 0.18.0 in roughly six weeks — carrying no app-level detail beyond the boilerplate project description. The one substantive signal, the 6.1.0 release-candidate vote, sits just past the packaging churn. The BI engine itself isn't visible in these entries; what's visible is deployment tooling moving fast.
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 public feed is all Helm-chart packaging while 6.1 grinds through release-candidate voting.
◆ Current state
Apache Superset's recent feed is almost entirely Helm chart releases — eight bumps from 0.15.5 to 0.18.0 in roughly six weeks — carrying no app-level detail beyond the boilerplate project description. The one substantive signal, the 6.1.0 release-candidate vote, sits just past the packaging churn. The BI engine itself isn't visible in these entries; what's visible is deployment tooling moving fast.
◆ Where it's heading
The Helm chart cadence is accelerating, with four 0.17.x patches landing inside a single week — the pattern of a deploy artifact being tightened ahead of a major. With 6.1.0 in RC, the chart work reads as staging for a GA rather than independent feature delivery.
◆ Prediction
6.1.0 most likely promotes from release candidate to GA, and the Helm chart bumps again to track it. The entries don't reveal what 6.1 actually ships, so the substance of the release remains unclear from this feed alone.
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.
Chord
Chord rebuilds Copilot from the ground up, betting its CDP on conversational AI.
MotherDuck
MotherDuck climbs from serverless DuckDB warehouse to an agent-operable data platform
Apache Superset
Superset's Helm chart ships steadily, but these tags track packaging, not the BI app
Apify
Apify retools Actors for the agentic web — agent payments and login-gated MCP access.
Usermaven
Usermaven consolidates a sprawling analytics suite into one AI-assisted hub.
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.
- 1d agoApache Supersetsuperset-helm-chart-0.19.0
- 5d agoApache Supersetsuperset-helm-chart-0.18.0
- 9d agoApache Supersetsuperset-helm-chart-0.17.3
- 10d agoApache Supersetsuperset-helm-chart-0.17.2
- 10d agoApache Supersetsuperset-helm-chart-0.17.1
- 10d agoApache Supersetsuperset-helm-chart-0.17.0
- 21d agoCountConnect external MCP servers to the Count agent ⚡
- 1mo agoCountDashed lines
- 1mo agoCountNew workspace home
- 2mo agoCountClickHouse support
- 2mo agoCountMajor Count agent upgrade: edits any cell, runs in Slack ⚡
- 3mo 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.