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Comparison · Analytics
Apache Cloudberry vs dbt Core
A side-by-side editorial comparison of Apache Cloudberry and dbt Core — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:open-source
Apache Cloudberry vs dbt Core: at a glance
What is Apache Cloudberry?
Apache Cloudberry advances to 2.2.0-rc1, tracking toward incubation graduation
Apache Cloudberry is an open-source MPP analytics database in the Apache Incubator, derived from the Greenplum codebase. The project has delivered two major versioned releases since entering incubation (2.0.0 in September 2025, 2.1.0 in May 2026) and has now issued a 2.2.0 first release candidate — a roughly 6-8 month release cadence with a distributed international contributor base. Governance and release processes are maturing in line with ASF requirements.
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.
Apache Cloudberry vs dbt Core: editorial side-by-side
Apache Cloudberry
2.5ANALYTICS
Apache Cloudberry advances to 2.2.0-rc1, tracking toward incubation graduation
◆ Current state
Apache Cloudberry is an open-source MPP analytics database in the Apache Incubator, derived from the Greenplum codebase. The project has delivered two major versioned releases since entering incubation (2.0.0 in September 2025, 2.1.0 in May 2026) and has now issued a 2.2.0 first release candidate — a roughly 6-8 month release cadence with a distributed international contributor base. Governance and release processes are maturing in line with ASF requirements.
◆ Where it's heading
The project's trajectory is steady incremental release delivery combined with growing contributor counts and tightening release discipline — both are signals the project is building toward Apache graduation. The shift from weekly pre-Apache builds to properly versioned incubating releases tracks a team transitioning from a fork into a standalone governed project. No radical feature pivots are visible in the release window; the bet is on becoming the credible open-source alternative to Greenplum and cloud-native MPP databases.
◆ Prediction
A formal Apache graduation vote is the most probable next milestone as the project demonstrates release maturity; 2.2.0 GA followed by a graduation proposal would be the natural sequence if the RC clears without major issues.
dbt Core
7.5ANALYTICS
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 Apache Cloudberry 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 Apache Cloudberry or dbt Core.
Holistics
Holistics builds AI governance and docs-as-analytics in parallel, shipping both weekly
OpenHouse
OpenHouse breaks ground on Iceberg views while tightening storage lifecycle and authorization
Lightdash
Lightdash is cutting its dbt dependency and building AI-powered authoring into every layer of its BI stack.
Keboola
Keboola's Kai AI assistant hits GA, completing the pivot from data platform to AI-native pipeline orchestration layer.
Omni
Omni's Apps reach general availability, completing its embedded analytics platform pitch.
See all Apache Cloudberry alternatives → · See all dbt Core alternatives →
Recent activity from Apache Cloudberry and dbt Core
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1h agodbt Coredbt v2.0.0 ⚡
- 21h agodbt Coredbt v1.12.5
- 1d agodbt Coredbt 2.0.2 internal test publish
- 5d agodbt Coredbt 2.0 RC2: Snowflake interactive tables + Databricks MV fixes
- 7d agodbt Coredbt 2.0 dev.39 internal publish
- 7d agodbt Coredbt 2.0 dev.38 internal publish
- 13d agoApache CloudberryApache Cloudberry 2.2.0 first release candidate
- 4mo agoApache CloudberryApache Cloudberry 2.1.0 official release
- 6mo agoApache CloudberryApache Cloudberry 2.1.0 second release candidate
- 6mo agoApache CloudberryApache Cloudberry 2.1.0 first release candidate
- 1y agoApache CloudberryApache Cloudberry 2.0.0 official release
- 1y agoApache CloudberryApache Cloudberry 2.0.0 third release candidate
Frequently asked questions
What is the difference between Apache Cloudberry and dbt Core?
Both compete on the same themes — open-source — within Analytics. 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 Apache Cloudberry 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 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 Apache Cloudberry?
Top Apache Cloudberry alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Cloudberry alternatives" section above for the current picks, or visit /alternatives/apache-cloudberry 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.