Deepnote
Deepnote reshapes the data notebook into agent-operable infrastructure.
A side-by-side editorial comparison of Hex and Count — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Hex | Count |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 6.3 | 6.3 |
| Sparks · 30d | 0 | 1 |
| Top themes | analytics, ai-agents, mcp, data-apps | agentic-analytics, mcp, public-api, warehouse-connectors |
| Last editorial update | 7d ago | 17d ago |
| Website | — | Visit → |
Hex is rebuilding analytics around an agent — now an MCP client that pulls context from anywhere.
Hex is reorganizing its analytics platform around the Hex Agent. Recent releases turn Hex into an MCP client that connects to external tools, add web search and a model picker to the agent, ship Hex into Codex, and let users wire repos and apps in as agent context. Connector and security work — Figma, AWS IAM roles, signed embedding — rounds out the agentic core.
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.
Hex is reorganizing its analytics platform around the Hex Agent. Recent releases turn Hex into an MCP client that connects to external tools, add web search and a model picker to the agent, ship Hex into Codex, and let users wire repos and apps in as agent context. Connector and security work — Figma, AWS IAM roles, signed embedding — rounds out the agentic core.
Hex is betting the analytics workflow becomes agent-driven: the Hex Agent gathers context from repos, apps, and MCP-connected tools, picks its model, searches the web, and generates data apps from prompts. By shipping into Codex and becoming an MCP client, Hex positions the agent as both a consumer and a provider in the agentic stack. The non-agent releases are mostly plumbing that supports it.
Expect continued agent expansion — more connected context sources, model options, and MCP- or Codex-style distribution — with enterprise controls like IAM and signed embedding shipped alongside to keep the agent deployable. The entries point to agentic analytics as the throughline.
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 Hex 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.
Both compete on the same themes — mcp — within Analytics. Hex and Count are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). 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. Hex and Count are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top Hex alternatives in Analytics are ranked by recent ship velocity. Browse the "Hex alternatives" section above for the current picks, or visit /alternatives/hex 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.