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dbt Core vs Microsoft Clarity

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

dbt Core vs Microsoft Clarity: at a glance

Featuredbt CoreMicrosoft Clarity
SectorAnalyticsAnalytics
Velocity score7.52.5
Sparks · 30d10
Top themesanalytics-engineering, data-transformation, ai-native, open-sourceanalytics, ai search visibility, citations, mcp
Last editorial update3d ago2h ago
WebsiteVisit →Visit →

What is dbt Core?

dbt 2.0 ships stable with an official OSS/proprietary split and agentic skill loading

dbt shipped its 2.0 stable release on September 16, the first generational version milestone in the project's history. The release formally renames the CLI: what was 'Fusion/dbt-core' becomes 'dbt' (proprietary) and 'dbt-oss' (open source)—a structural separation that existed in practice but now has an official name. New capabilities include native Databricks metric view materializations, a ClickHouse ADBC driver, and AgentSkill installation from dbt packages gated on a new ai_provider flag.

Read the full dbt Core trajectory →

What is Microsoft Clarity?

Microsoft Clarity is turning its free analytics tool into the go-to dashboard for AI search visibility.

Microsoft Clarity has evolved well beyond heatmaps and session recordings. The last several months have been almost entirely focused on a new product surface: Citations and AI visibility analytics, which track how a site's content appears in AI-generated answers from ChatGPT, Gemini, and similar platforms. By May 2026 Citations hit GA; by July, Topic Insights let teams see which content topics earn AI citation authority; by August, AI crawler behavior could be connected to actual referral sessions. An MCP server also shipped, making Clarity data queryable from LLM contexts.

Read the full Microsoft Clarity trajectory →

dbt Core vs Microsoft Clarity: editorial side-by-side

D
dbt Core
ANALYTICS
7.5

dbt 2.0 ships stable with an official OSS/proprietary split and agentic skill loading

◆ Current state

dbt shipped its 2.0 stable release on September 16, the first generational version milestone in the project's history. The release formally renames the CLI: what was 'Fusion/dbt-core' becomes 'dbt' (proprietary) and 'dbt-oss' (open source)—a structural separation that existed in practice but now has an official name. New capabilities include native Databricks metric view materializations, a ClickHouse ADBC driver, and AgentSkill installation from dbt packages gated on a new ai_provider flag.

◆ Where it's heading

The OSS/proprietary split is the architectural move that matters most. dbt Labs is building a commercial product on top of dbt-oss, and 2.0 makes that boundary explicit to the ecosystem. The AgentSkills integration signals that dbt sees AI-assisted data transformation as a core product direction—not an add-on. The ai_provider flag is the gating mechanism through which commercial features will increasingly be differentiated.

◆ Prediction

Expect near-term differentiation between dbt (proprietary) and dbt-oss at the feature level, with AI-native capabilities—AgentSkills, model suggestions, lineage intelligence—landing exclusively in the commercial tier first.

M2.5

Microsoft Clarity is turning its free analytics tool into the go-to dashboard for AI search visibility.

◆ Current state

Microsoft Clarity has evolved well beyond heatmaps and session recordings. The last several months have been almost entirely focused on a new product surface: Citations and AI visibility analytics, which track how a site's content appears in AI-generated answers from ChatGPT, Gemini, and similar platforms. By May 2026 Citations hit GA; by July, Topic Insights let teams see which content topics earn AI citation authority; by August, AI crawler behavior could be connected to actual referral sessions. An MCP server also shipped, making Clarity data queryable from LLM contexts.

◆ Where it's heading

Clarity is building a parallel analytics stack alongside its original behavioral tools. The new surface covers AI discoverability (citations, topic authority, scrape-to-referral) while the original product covers behavioral data (heatmaps, sessions, rage clicks). Both remain free, which means Microsoft is building toward being the industry-standard measurement tool for AI-era web presence — before the category is fully defined. The direction points toward unifying both data layers into a single site analytics suite.

◆ Prediction

The next step is likely actionable recommendations from the Citations dashboard — not just monitoring but telling teams what content changes would improve AI citation frequency. The MCP server also sets up AI-agent-driven analytics automation as a near-term product surface.

Alternatives to dbt Core and Microsoft Clarity

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 dbt Core or Microsoft Clarity.

See all dbt Core alternatives → · See all Microsoft Clarity alternatives →

Recent activity from dbt Core and Microsoft Clarity

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

  1. 3d agodbt Coredbt v2.0.0
  2. 4d agodbt Coredbt v1.12.5
  3. 4d agodbt Coredbt 2.0.2 internal test publish
  4. 8d agodbt Coredbt 2.0 RC2: Snowflake interactive tables + Databricks MV fixes
  5. 9d agoMicrosoft ClarityHow SaaS Teams Can Use Clarity to Understand Monetization Behavior
  6. 10d agodbt Coredbt 2.0 dev.39 internal publish
  7. 10d agodbt Coredbt 2.0 dev.38 internal publish
  8. 1mo agoMicrosoft Clarity5 Advanced Queries You Should Try with the Clarity MCP Server
  9. 1mo agoMicrosoft ClarityUnderstand Which AI Crawlers Drive Real Visits with AI Scrape-to-Referral Insights
  10. 1mo agoMicrosoft ClaritySee Branded and Non-Branded AI Queries in the Clarity Citations Dashboard
  11. 1mo agoMicrosoft ClarityAnalyze AI Citation Queries by Topic
  12. 2mo agoMicrosoft ClarityMeasure How AI Answers Use Your Content with Topic Insights in Microsoft Clarity

Frequently asked questions

What is the difference between dbt Core and Microsoft Clarity?

They serve adjacent needs but don't currently overlap on shipped themes. dbt Core is currently shipping more aggressively (velocity 7.5 vs 2.5), 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 dbt Core better than Microsoft Clarity?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dbt Core is currently shipping more aggressively (velocity 7.5 vs 2.5), 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 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.

What are the best alternatives to Microsoft Clarity?

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