Chord
Chord's AI assistant is evolving from a stateless query tool into a persistent knowledge layer for ecommerce analytics teams.
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
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.
What is dbt Core?
dbt 2.0 ships — proprietary binary forks from dbt-oss as AI agent skills land
dbt just shipped its 2.0.0 GA release, formally splitting the codebase into a proprietary 'dbt' binary (the Fusion engine) and 'dbt-oss'. The 2.0 release adds AI agent skill installs from packages, native Databricks metric view materializations, and a new ClickHouse ADBC driver. Post-2.0 dev builds (dev.41) are already extending Lake Compute with Databricks Unity Catalog read access.
Count vs dbt Core: editorial side-by-side
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.
dbt Core
7.5ANALYTICS
dbt 2.0 ships — proprietary binary forks from dbt-oss as AI agent skills land
◆ Current state
dbt just shipped its 2.0.0 GA release, formally splitting the codebase into a proprietary 'dbt' binary (the Fusion engine) and 'dbt-oss'. The 2.0 release adds AI agent skill installs from packages, native Databricks metric view materializations, and a new ClickHouse ADBC driver. Post-2.0 dev builds (dev.41) are already extending Lake Compute with Databricks Unity Catalog read access.
◆ Where it's heading
The proprietary/OSS fork is the defining structural move: dbt (proprietary) will accumulate AI-adjacent features — agent skills, Lake Compute, Databricks-specific materializations — while dbt-oss serves the backward-compat install base. The agent skills system (SKILL.md packages) is early but establishes a plugin surface for AI workflow definitions inside dbt runs. Expect the Databricks surface to keep widening as Lake Compute moves toward write support.
◆ Prediction
Next likely move: agent skills expand from installation-only to execution, and Lake Compute adds write paths or more Unity Catalog capabilities. The ClickHouse ADBC driver work may also get a GA tag soon given the volume of RC iterations.
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.
Fulcrum
Fulcrum ships an MCP server for AI-managed form building while Photo FastFill pushes toward general availability.
Holistics
Holistics connects to warehouse-native semantic layers, shifting from semantic owner to governed exploration layer.
Tinybird
Tinybird builds out MCP tooling for LLM-driven data access while hardening its ingestion pipeline
Basedash
Basedash makes its MCP server writable — AI agents can now author dashboards on your behalf
OpenObserve
OpenObserve hits v1.0 GA with first-class AI Observability and SLOs, then stabilizes fast.
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.
- 3d agodbt CoreLake Compute gains Databricks Unity Catalog read access
- 9d agodbt Coredbt v2.0.0 ⚡
- 10d agodbt Coredbt v1.12.5
- 10d agodbt CoreInternal test-PyPI build (2.0.2)
- 15d agodbt Corev2.0.0-rc.2
- 17d agodbt CoreClickHouse ADBC driver dev build (2.0.0-dev.39)
- 3mo agoCountConnect external MCP servers to the Count agent ⚡
- 4mo agoCountDashed lines
- 4mo agoCountNew workspace home
- 4mo agoCountClickHouse support
- 5mo agoCountMajor Count agent upgrade: edits any cell, runs in Slack ⚡
- 5mo 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. dbt Core is currently shipping more aggressively (velocity 7.5 vs 6.3), 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 Count better than dbt Core?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dbt Core is currently shipping more aggressively (velocity 7.5 vs 6.3), 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 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.