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Comparison · Analytics

Holistics vs Count

A side-by-side editorial comparison of Holistics and Count — release velocity, themes, recent moves, and the top alternatives to consider.

Holistics vs Count: at a glance

FeatureHolisticsCount
SectorAnalyticsAnalytics
Velocity score7.56.3
Sparks · 30d21
Top themesanalytics-as-code, embedded-analytics, ai-native, bi-migrationagentic-analytics, mcp, public-api, warehouse-connectors
Last editorial update1d ago1d ago
WebsiteVisit →Visit →

What is Holistics?

Holistics leans into analytics-as-code with agentic dev workflows and a Power BI migration path

Holistics is a BI platform built around analytics-as-code, where models and dashboards are defined in its AMQL language and version-controlled in Git. Recent releases push on three fronts at once: competitive migration (a one-command Power BI importer), AI-native authoring (Claude Code setup skills and a conversational Ask AI), and steady breadth work like an Oracle connector and org-level GitHub App auth. The throughline is making the code-first workflow easier to adopt and operate.

Read the full Holistics trajectory →

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.

Read the full Count trajectory →

Holistics vs Count: editorial side-by-side

Holistics logo
Holistics
ANALYTICS
7.5

Holistics leans into analytics-as-code with agentic dev workflows and a Power BI migration path

◆ Current state

Holistics is a BI platform built around analytics-as-code, where models and dashboards are defined in its AMQL language and version-controlled in Git. Recent releases push on three fronts at once: competitive migration (a one-command Power BI importer), AI-native authoring (Claude Code setup skills and a conversational Ask AI), and steady breadth work like an Oracle connector and org-level GitHub App auth. The throughline is making the code-first workflow easier to adopt and operate.

◆ Where it's heading

The direction is to lower the switching cost from incumbent BI tools while betting that analytics teams will work through agents and code rather than point-and-click. Migration tooling and agentic setup skills both target the same friction: getting a team productive in Holistics fast. Parallel embed and dashboard-runtime polish (auto-run, KPI styling) point to a continued focus on the embedded-analytics use case.

◆ Prediction

Expect the migration story to extend to other incumbents and the agentic-development skills to deepen, given the back-to-back Power BI importer and Claude Code setup releases. Embedded-analytics controls look set to keep maturing.

C
Count
ANALYTICS
6.3

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 Holistics 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 Holistics or Count.

See all Holistics alternatives → · See all Count alternatives →

Recent activity from Holistics and Count

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 5d agoHolisticsKPI metric styling in dashboard themes
  2. 5d agoCountConnect external MCP servers to the Count agent
  3. 6d agoHolisticsAuto-run on changes for embedded dashboards
  4. 8d agoHolisticsPower BI to Holistics migration in one command
  5. 16d agoHolisticsExplore interface redesign
  6. 19d agoHolisticsOne-command local agentic development setup
  7. 19d agoCountDashed lines
  8. 21d agoHolisticsSelect all fields in a model
  9. 1mo agoCountNew workspace home
  10. 1mo agoCountClickHouse support
  11. 2mo agoCountMajor Count agent upgrade: edits any cell, runs in Slack
  12. 2mo agoCountPublic API and MCP server

Frequently asked questions

What is the difference between Holistics and Count?

They serve adjacent needs but don't currently overlap on shipped themes. Holistics is currently shipping more aggressively (velocity 7.5 vs 6.3), with 2 editorial sparks in the last 30 days against 1. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Holistics better than Count?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Holistics is currently shipping more aggressively (velocity 7.5 vs 6.3), with 2 editorial sparks in the last 30 days against 1. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to Holistics?

Top Holistics alternatives in Analytics are ranked by recent ship velocity. Browse the "Holistics alternatives" section above for the current picks, or visit /alternatives/holistics 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.