← Back to home
Comparison · Analytics

Count vs dbt Core

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

Count vs dbt Core: at a glance

FeatureCountdbt Core
SectorAnalyticsAnalytics
Velocity score6.36.3
Sparks · 30d00
Top themesagentic-analytics, mcp, public-api, warehouse-connectorsfusion-migration, v2-transition, semantic-layer, adapters
Last editorial update4mo ago14d 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 dbt Core?

dbt's 1.x releases now point users at v2 straight from the command line.

dbt 2.0 GA split the project into a proprietary 'dbt' binary and dbt-oss, and the 2.0 dev channel has since added read-only Databricks Unity Catalog access through Lake Compute. The 1.x line is still shipping: 1.13.0b1 adds an opt-in --use-v2-parser that hands parsing to the Fusion parser, and today's 1.12.6 prints a v2 availability notice on dbt --version and relays Fusion parser logs through the otel log format.

Read the full dbt Core trajectory →

Count vs dbt Core: 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.

D
dbt Core
ANALYTICS
6.3

dbt's 1.x releases now point users at v2 straight from the command line.

◆ Current state

dbt 2.0 GA split the project into a proprietary 'dbt' binary and dbt-oss, and the 2.0 dev channel has since added read-only Databricks Unity Catalog access through Lake Compute. The 1.x line is still shipping: 1.13.0b1 adds an opt-in --use-v2-parser that hands parsing to the Fusion parser, and today's 1.12.6 prints a v2 availability notice on dbt --version and relays Fusion parser logs through the otel log format.

◆ Where it's heading

The 1.x branch is being turned into an on-ramp for v2: a PyPI banner in 1.12.5, a CLI notice in 1.12.6, deprecated-version warnings and the Fusion parser opt-in in 1.13. Meanwhile 2.0 work concentrates on adapter parity (ClickHouse, Databricks) and Lake Compute.

◆ Prediction

Expect 1.13 to reach GA with the v2 parser opt-in and more migration prompts, and 2.0.x to extend Lake Compute past read-only Unity access. The entries don't show an end-of-life date for 1.x.

Alternatives to Count and dbt Core

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 dbt Core.

See all Count alternatives → · See all dbt Core alternatives →

Recent activity from Count and dbt Core

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

  1. 15d agodbt Coredbt 1.12.6 points users to v2 and fixes Fusion parser logging
  2. 15d agodbt Coredbt 1.11.16 fixes nested wildcard selectors, adds tarball path check
  3. 15d agodbt Coredbt-core 1.13 beta adds opt-in Fusion parser and dbt login
  4. 1mo agodbt CoreLake Compute gains Databricks Unity Catalog read access
  5. 1mo agodbt Coredbt v2.0.0 ⚡
  6. 1mo agodbt Coredbt v1.12.5
  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 dbt Core?

They serve adjacent needs but don't currently overlap on shipped themes. Count and dbt Core 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.

Is Count better than dbt Core?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Count and dbt Core 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.

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 dbt Core?

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