Hex
Hex is rebuilding analytics around an agent — now an MCP client that pulls context from anywhere.
Comparison · Analytics
Simple Analytics vs Count
A side-by-side editorial comparison of Simple Analytics and Count — release velocity, themes, recent moves, and the top alternatives to consider.
Simple Analytics vs Count: at a glance
What is Simple Analytics?
Simple Analytics ships weekly small wins — Events Explorer polish, API v6 with intervals, ingestion-side IP blocking.
Cadence is the story: roughly weekly, small, considered improvements rather than headline features. Recent shipping covers Events Explorer ergonomics (column truncation, full-width toggle, collapse on hover), API v6 with proper interval support and version-aware changelogs, IP blocking moved out of bunny.net into the ingestion app for per-site control, plus quality-of-life touches (favicon refresh, open-referral-in-new-tab). The infrastructure upgrade in late February — doubled Elasticsearch cluster, 10K pageviews/sec — is the biggest under-the-hood move.
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.
Simple Analytics vs Count: editorial side-by-side
Simple Analytics
1.3ANALYTICS
Simple Analytics ships weekly small wins — Events Explorer polish, API v6 with intervals, ingestion-side IP blocking.
◆ Current state
Cadence is the story: roughly weekly, small, considered improvements rather than headline features. Recent shipping covers Events Explorer ergonomics (column truncation, full-width toggle, collapse on hover), API v6 with proper interval support and version-aware changelogs, IP blocking moved out of bunny.net into the ingestion app for per-site control, plus quality-of-life touches (favicon refresh, open-referral-in-new-tab). The infrastructure upgrade in late February — doubled Elasticsearch cluster, 10K pageviews/sec — is the biggest under-the-hood move.
◆ Where it's heading
Simple Analytics is sticking to the 'simple, EU-hosted, privacy-first' position and competing directly with Fathom and Plausible. Where Fathom is rebuilding its engine and bolting on Search Console, Simple Analytics is iterating in smaller increments and leaning on EU-data-residency and low-friction onboarding as differentiators. Without a comparable engine rebuild or GA4-replacement narrative, the gap to Fathom on feature breadth is widening.
◆ Prediction
Likely next: more API v6 polish, deeper Events Explorer slicing/grouping, and a Search Console-style integration to keep pace with Fathom. Watch for whether the team adds a heavier reporting surface or stays disciplined to the 'simple' brief — the latter is harder to hold as competitors broaden.
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 Simple Analytics 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 Simple Analytics or Count.
Fulcrum
Fulcrum is in steady maintenance mode, polishing its field-mapping and mobile data-capture core.
Lightdash
Lightdash keeps sanding down the edges of self-serve BI, chart by chart.
Apify
Apify is rebuilding the Actor platform as MCP-first agent infrastructure.
Apache Superset
Duplicate Apache Superset row — same Helm-chart packaging feed, no distinct product signal
Apache Superset
Superset's public feed is all Helm-chart packaging — the 6.x product work sits behind release votes
See all Simple Analytics alternatives → · See all Count alternatives →
Recent activity from Simple Analytics and Count
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 15d agoCountConnect external MCP servers to the Count agent ⚡
- 29d agoCountDashed lines
- 1mo agoCountNew workspace home
- 1mo agoCountClickHouse support
- 2mo agoCountMajor Count agent upgrade: edits any cell, runs in Slack ⚡
- 2mo agoSimple AnalyticsEvents Explorer: column truncation, full-width toggle, collapse
- 2mo agoSimple AnalyticsAPI v6: intervals, bucket helpers, version-aware changelog
- 2mo agoCountPublic API and MCP server ⚡
- 2mo agoSimple AnalyticsIP blocking moved to ingestion: per-site, custom-domain support
- 2mo agoSimple AnalyticsEvents Explorer improvements
- 2mo agoSimple AnalyticsEvents Explorer improvements (duplicate)
- 2mo agoSimple AnalyticsEvents Explorer improvements (duplicate)
Frequently asked questions
What is the difference between Simple Analytics and Count?
They serve adjacent needs but don't currently overlap on shipped themes. Count is currently shipping more aggressively (velocity 6.3 vs 1.3), 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 Simple Analytics 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 1.3), 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 Simple Analytics?
Top Simple Analytics alternatives in Analytics are ranked by recent ship velocity. Browse the "Simple Analytics alternatives" section above for the current picks, or visit /alternatives/simple-analytics 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.