Hex
Hex is rebuilding analytics around an agent — now an MCP client that pulls context from anywhere.
Comparison · Analytics
Looker vs Count
A side-by-side editorial comparison of Looker and Count — release velocity, themes, recent moves, and the top alternatives to consider.
Looker vs Count: at a glance
What is Looker?
Looker pushes AI Conversational Analytics modes and steady polish, but the changelog feed is fragmented.
The captured Looker feed mixes section headings ('AI and ML', 'Application development', 'Application hosting') with one-sentence release notes — a sign the scrape is splitting Google Cloud release-note structure into atomic fragments. Within that noise, two real moves stand out: mobile push notifications for alerts, and Conversational Analytics gaining Fast and Thinking modes in 26.6.
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.
Looker vs Count: editorial side-by-side
Looker
5.0ANALYTICS
Looker pushes AI Conversational Analytics modes and steady polish, but the changelog feed is fragmented.
◆ Current state
The captured Looker feed mixes section headings ('AI and ML', 'Application development', 'Application hosting') with one-sentence release notes — a sign the scrape is splitting Google Cloud release-note structure into atomic fragments. Within that noise, two real moves stand out: mobile push notifications for alerts, and Conversational Analytics gaining Fast and Thinking modes in 26.6.
◆ Where it's heading
Looker is steadily wiring AI/LLM patterns into the BI surface — Conversational Analytics is the headline area, and the new Fast vs Thinking mode split mirrors how foundation-model APIs distinguish between low-latency and reasoning-heavy inference. Around it, Looker is closing mobile-experience gaps and shipping table visualization improvements. The cadence is steady but unspectacular.
◆ Prediction
Expect 26.8 (May 2026) to extend Conversational Analytics with more agent-tooling controls and likely an expanded data-source surface for the natural-language interface. The fragmentary release-note format also suggests an underlying Google Cloud release-note source that may need a different scrape strategy.
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 Looker 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 Looker 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 Looker alternatives → · See all Count alternatives →
Recent activity from Looker 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 agoLookerSection heading: AI and ML (no content)
- 2mo agoLookerMobile alerts now delivered as push notifications
- 2mo agoLookerTeaser: Looker 26.8 coming in May 2026
- 2mo agoLookerSection heading: Application development (no content)
- 2mo agoLookerTable Visualization Improvements preview (off by default)
- 2mo agoCountPublic API and MCP server ⚡
- 2mo agoLookerSection heading: Application hosting (no content)
Frequently asked questions
What is the difference between Looker 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 Looker 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 Looker?
Top Looker alternatives in Analytics are ranked by recent ship velocity. Browse the "Looker alternatives" section above for the current picks, or visit /alternatives/looker 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.