Fulcrum
Fulcrum ships MCP server and AI Toolkit to let AI assistants build and query field data forms
A side-by-side editorial comparison of ChartMogul and dbt Core — release velocity, themes, recent moves, and the top alternatives to consider.
ChartMogul is expanding from SaaS metrics dashboards into a CRM-integrated revenue operations platform.
ChartMogul remains the dominant independent SaaS metrics layer for tracking MRR, churn, and trial conversion. The last several months have shown it building outward from analytics: a Crono integration brings outbound sales workflows into its CRM product, and native n8n support wires it into automation pipelines. Thought-leadership blog output on PLG and AI-driven activation accompanies these moves, positioning the product as a strategic partner rather than a pure reporting tool.
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.
ChartMogul remains the dominant independent SaaS metrics layer for tracking MRR, churn, and trial conversion. The last several months have shown it building outward from analytics: a Crono integration brings outbound sales workflows into its CRM product, and native n8n support wires it into automation pipelines. Thought-leadership blog output on PLG and AI-driven activation accompanies these moves, positioning the product as a strategic partner rather than a pure reporting tool.
ChartMogul is betting on a revenue operations bundle—subscription analytics, CRM, and outbound workflow in one product—rather than staying narrowly in the metrics layer. Integration partnerships with Crono and n8n widen its surface without requiring native feature development. The blog cadence on PLG and AI activation signals where the product narrative is heading: helping SaaS companies operationalize their growth data, not just visualize it.
The next probable move is native CRM feature parity—deal tracking or pipeline views built in-product rather than via partner integrations—closing the gap between the metrics dashboard and the revenue workflow.
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.
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.
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.
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 ChartMogul or dbt Core.
Fulcrum ships MCP server and AI Toolkit to let AI assistants build and query field data forms
Holistics builds AI governance and docs-as-analytics in parallel, shipping both weekly
OpenHouse breaks ground on Iceberg views while tightening storage lifecycle and authorization
Lightdash is cutting its dbt dependency and building AI-powered authoring into every layer of its BI stack.
Keboola's Kai AI assistant hits GA, completing the pivot from data platform to AI-native pipeline orchestration layer.
Omni's Apps reach general availability, completing its embedded analytics platform pitch.
See all ChartMogul alternatives → · See all dbt Core alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
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.
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.
Top ChartMogul alternatives in Analytics are ranked by recent ship velocity. Browse the "ChartMogul alternatives" section above for the current picks, or visit /alternatives/chartmogul for the full list with editorial commentary on each.
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.