Deepnote
Deepnote reshapes the data notebook into agent-operable infrastructure.
A side-by-side editorial comparison of Omni and Count — release velocity, themes, recent moves, and the top alternatives to consider.
Omni keeps welding AI into the BI modeling layer, one weekly drop at a time
Omni ships weekly, and the throughline is AI moving from bolt-on to default: AI-powered visualization annotations and the AI Hub have reached general availability, and external AI context now pulls from Notion. Alongside that runs steady modeling and embedding work — calculation pushdown, dynamic top-N parameterization, approximate aggregates, and timezone overrides in embed URLs.
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.
Omni ships weekly, and the throughline is AI moving from bolt-on to default: AI-powered visualization annotations and the AI Hub have reached general availability, and external AI context now pulls from Notion. Alongside that runs steady modeling and embedding work — calculation pushdown, dynamic top-N parameterization, approximate aggregates, and timezone overrides in embed URLs.
The product is converging an analyst-facing BI tool with an agent-assisted one: a Modeling Agent with skills, AI context-management controls, and access-gated AI grants suggest Omni wants AI that respects the semantic model rather than bypassing it. The non-AI work (compute routing, CLI OAuth, publish-draft APIs) is hardening the platform underneath so the AI features have a governed surface to act on.
Expect the next releases to keep promoting AI features from preview to GA and to deepen the Modeling Agent's reach into governed datasets; further external-context integrations beyond Notion are the likeliest near-term add.
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.
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.
Expect more connection- and warehouse-level context controls, a widening catalog of supported external MCP integrations, and deeper Slack-native agent workflows.
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 Omni or Count.
Deepnote reshapes the data notebook into agent-operable infrastructure.
Chord rebuilds Copilot from the ground up, betting its CDP on conversational AI.
MotherDuck climbs from serverless DuckDB warehouse to an agent-operable data platform
Superset's Helm chart ships steadily, but these tags track packaging, not the BI app
Apify retools Actors for the agentic web — agent payments and login-gated MCP access.
Usermaven consolidates a sprawling analytics suite into one AI-assisted hub.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
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.
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.
Top Omni alternatives in Analytics are ranked by recent ship velocity. Browse the "Omni alternatives" section above for the current picks, or visit /alternatives/omni for the full list with editorial commentary on each.
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.