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Mage vs dbt Core

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

Mage vs dbt Core: at a glance

FeatureMagedbt Core
SectorAnalyticsAnalytics
Velocity score0.07.5
Sparks · 30d01
Top themesdata-pipelines, orchestration, cadence-decline, dependency-pinninganalytics-engineering, data-transformation, ai-native, open-source
Last editorial update1mo ago3h ago
WebsiteVisit →Visit →

What is Mage?

Feature releases every two months in 2024; one bugfix release in the last twelve.

The release cadence has collapsed. Through 2024 Mage shipped roughly every two months with substantial features each time — memory management rework, dynamic blocks, new sources and destinations, Python 3.11 and 3.12 support. 2025 produced two releases. The most recent entry, 0.9.79 in January 2026, contains no feature section at all: it is dependency pinning, SQLAlchemy 2.0 compatibility, character escaping during code interpolation, and log file handle cleanup. Nothing has followed it in the six months since.

Read the full Mage trajectory →

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 →

Mage vs dbt Core: editorial side-by-side

M
Mage
ANALYTICS
0.0

Feature releases every two months in 2024; one bugfix release in the last twelve.

◆ Current state

The release cadence has collapsed. Through 2024 Mage shipped roughly every two months with substantial features each time — memory management rework, dynamic blocks, new sources and destinations, Python 3.11 and 3.12 support. 2025 produced two releases. The most recent entry, 0.9.79 in January 2026, contains no feature section at all: it is dependency pinning, SQLAlchemy 2.0 compatibility, character escaping during code interpolation, and log file handle cleanup. Nothing has followed it in the six months since.

◆ Where it's heading

The arc runs from expanding the product to keeping it compiling. The 2024 releases added capability — a canvas rework, multi-project support, streaming sinks, Kubernetes job parameters. The 2025 releases shifted toward integrations and CVE response, including a batch of path traversal fixes carrying assigned identifiers. The last release is entirely defensive, including vendoring croniter into the repository and locking scikit-learn to stop upstream changes from breaking builds. That is the profile of a codebase being kept viable rather than developed.

◆ Prediction

The entries give no basis for predicting the next release — a six-month gap after a dependency-only patch is the only signal available, and nothing here indicates whether the line is paused or finished.

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.

Alternatives to Mage 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 Mage or dbt Core.

See all Mage alternatives → · See all dbt Core alternatives →

Recent activity from Mage and dbt Core

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

  1. 4h agodbt Coredbt v2.0.0
  2. 1d agodbt Coredbt v1.12.5
  3. 1d agodbt Coredbt 2.0.2 internal test publish
  4. 5d agodbt Coredbt 2.0 RC2: Snowflake interactive tables + Databricks MV fixes
  5. 7d agodbt Coredbt 2.0 dev.39 internal publish
  6. 7d agodbt Coredbt 2.0 dev.38 internal publish
  7. 7mo agoMageDependency pinning and SQLAlchemy 2.0 compatibility fixes
  8. 1y agoMagePath traversal CVE fixes and cancellation callbacks
  9. 1y agoMageTeradata, Doris and Airtable connectors, rotatable API tokens
  10. 1y agoMageAirtable destination and Python 3.11 and 3.12 support
  11. 1y agoMageGoogle Cloud Storage source and Airtable integration
  12. 2y agoMageMemory management rework and dynamic blocks 2.0

Frequently asked questions

What is the difference between Mage 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 0.0), 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 Mage 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 0.0), 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 Mage?

Top Mage alternatives in Analytics are ranked by recent ship velocity. Browse the "Mage alternatives" section above for the current picks, or visit /alternatives/mage-ai 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.