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Comparison · Analytics

Count vs Keboola

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

Shared themes:mcp

Count vs Keboola: at a glance

FeatureCountKeboola
SectorAnalyticsAnalytics
Velocity score6.35.0
Sparks · 30d00
Top themesagentic-analytics, mcp, public-api, warehouse-connectorsdata-platform, mcp, ai-assistant, governance
Last editorial update4mo ago1d ago
WebsiteVisit →Visit →

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 →

What is Keboola?

Keboola adds dark mode while it tightens the MCP server and retires idle workspaces.

Keboola's recent releases split between hygiene and AI-agent safety. The MCP server's query_data tool is now read-only, emailing API tokens is being retired, and idle Snowflake and BigQuery workspaces will be deactivated from 9 November. On the user side, data apps start faster on pre-built images, Kai gained shared team memory, and the UI now has dark mode.

Read the full Keboola trajectory →

Count vs Keboola: editorial side-by-side

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.

K
Keboola
ANALYTICS
5.0

Keboola adds dark mode while it tightens the MCP server and retires idle workspaces.

◆ Current state

Keboola's recent releases split between hygiene and AI-agent safety. The MCP server's query_data tool is now read-only, emailing API tokens is being retired, and idle Snowflake and BigQuery workspaces will be deactivated from 9 November. On the user side, data apps start faster on pre-built images, Kai gained shared team memory, and the UI now has dark mode.

◆ Where it's heading

The platform is limiting what agents and stale resources can do while making its AI assistant and apps quicker to use. The pattern is deliberate cleanup ahead of wider agent usage, not new surface area.

◆ Prediction

Expect more guardrails around the MCP server and Kai, such as tighter scopes or approvals, alongside further deprecation notices with fixed dates.

Alternatives to Count and Keboola

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 Count or Keboola.

See all Count alternatives → · See all Keboola alternatives →

Recent activity from Count and Keboola

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

  1. 1d agoKeboolaSwitch Keboola to Dark Mode
  2. 3d agoKeboolaUnused Workspaces Will Be Cleaned Up Automatically
  3. 6d agoKeboolaKeboola MCP Server: query_data Runs Read-Only Queries Only
  4. 9d agoKeboolaSending API Tokens via Email Will Be Removed on February 4, 2027
  5. 17d agoKeboolaFaster App Starts by Default
  6. 22d agoKeboolaKai remembers what matters: shared team memory
  7. 4mo agoCountConnect external MCP servers to the Count agent ⚡
  8. 5mo agoCountDashed lines
  9. 5mo agoCountNew workspace home
  10. 6mo agoCountClickHouse support
  11. 6mo agoCountMajor Count agent upgrade: edits any cell, runs in Slack ⚡
  12. 6mo agoCountPublic API and MCP server ⚡

Frequently asked questions

What is the difference between Count and Keboola?

Both compete on the same themes — mcp — within Analytics. Count is currently shipping more aggressively (velocity 6.3 vs 5.0), with 0 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 Count better than Keboola?

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 0 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 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.

What are the best alternatives to Keboola?

Top Keboola alternatives in Analytics are ranked by recent ship velocity. Browse the "Keboola alternatives" section above for the current picks, or visit /alternatives/keboola for the full list with editorial commentary on each.