Deepnote
Deepnote reshapes the data notebook into agent-operable infrastructure.
A side-by-side editorial comparison of Whatagraph and Count — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Whatagraph | Count |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 5.0 | 6.3 |
| Sparks · 30d | 0 | 1 |
| Top themes | marketing-reporting, integrations, data-storage, visualization | agentic-analytics, mcp, public-api, warehouse-connectors |
| Last editorial update | 9d ago | 17d ago |
| Website | — | Visit → |
Whatagraph builds a managed storage layer, moving from live-API reporting toward owning the data pipeline
Whatagraph is a marketing-reporting platform that pulls multi-channel data — paid media, web analytics, CRM, call tracking, e-commerce — into client-ready reports. Recent releases push on three fronts: more data sources (WhatConverts, Snowflake, bol., CallTrackingMetrics v2), reporting performance and architecture (Data Storage), and report-building UX (themes, grid view, AI-assisted creation, conditional formatting, GeoMap).
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.
Whatagraph is a marketing-reporting platform that pulls multi-channel data — paid media, web analytics, CRM, call tracking, e-commerce — into client-ready reports. Recent releases push on three fronts: more data sources (WhatConverts, Snowflake, bol., CallTrackingMetrics v2), reporting performance and architecture (Data Storage), and report-building UX (themes, grid view, AI-assisted creation, conditional formatting, GeoMap).
The direction is owning more of the data pipeline — adding warehouse-grade sources like Snowflake and a managed storage layer so reports load fast over deep history — while smoothing the build experience for agencies juggling many clients. AI-assisted report creation ('Create with IQ') hints at where the authoring side is heading.
Expect continued integration expansion, especially retail-media and warehouse sources, more depth on Data Storage (schemas, backfill, performance), and further AI in report creation. Whatagraph is positioning as a reporting layer that stores and blends data, not just one that visualizes live feeds.
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 Whatagraph 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.
See all Whatagraph alternatives → · See all Count alternatives →
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 Whatagraph alternatives in Analytics are ranked by recent ship velocity. Browse the "Whatagraph alternatives" section above for the current picks, or visit /alternatives/whatagraph 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.