Fulcrum
Fulcrum ships MCP server and AI Toolkit to let AI assistants build and query field data forms
Comparison · Analytics
dbt Core vs Deepnote
A side-by-side editorial comparison of dbt Core and Deepnote — release velocity, themes, recent moves, and the top alternatives to consider.
dbt Core vs Deepnote: at a glance
| Feature | dbt Core | Deepnote |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 6.3 | 6.3 |
| Sparks · 30d | 0 | 0 |
| Top themes | data-transformation, analytics-engineering, open-source, snowflake | data notebooks, agentic ai, mcp, reproducibility |
| Last editorial update | 10h ago | 2mo ago |
| Website | Visit → | — |
What is dbt Core?
dbt 2.0 enters final RC with beta Snowflake interactive_table materialization and full ClickHouse MV support.
dbt Core is in the final stretch of the v2.0 release cycle, running RC builds while the 1.x stable branch continues receiving targeted fixes. RC.2 added beta support for Snowflake's interactive_table materialization — covering static and dynamic variants with config-change detection for target_lag, warehouse, and cluster_by — and completed ClickHouse materialized view support via the new ADBC driver. The 1.12.5 and 1.11.15 patch releases address a MetricFlow protocol compliance issue and a package path traversal security fix respectively.
What is Deepnote?
Deepnote reshapes the data notebook into agent-operable infrastructure.
Deepnote, a collaborative data-science notebook, is steadily making itself agent-native: MCP tools now let AI agents create and wire integrations end-to-end, and OpenAI's Codex connects natively to a Deepnote workspace's notebooks, schedules, and data. Underneath, it keeps shipping solid workflow features — run snapshots, Git and GitLab sync, Polars, PDF export.
dbt Core vs Deepnote: editorial side-by-side
dbt Core
6.3ANALYTICS
dbt 2.0 enters final RC with beta Snowflake interactive_table materialization and full ClickHouse MV support.
◆ Current state
dbt Core is in the final stretch of the v2.0 release cycle, running RC builds while the 1.x stable branch continues receiving targeted fixes. RC.2 added beta support for Snowflake's interactive_table materialization — covering static and dynamic variants with config-change detection for target_lag, warehouse, and cluster_by — and completed ClickHouse materialized view support via the new ADBC driver. The 1.12.5 and 1.11.15 patch releases address a MetricFlow protocol compliance issue and a package path traversal security fix respectively.
◆ Where it's heading
dbt 2.0's final stabilization phase is expanding adapter coverage depth rather than adding new DAG primitives. ClickHouse now has full MV and unit-test support; Snowflake gets interactive table handling with edge-case-level cluster_by comparison fixes that only come from deep validation work. The pattern: make dbt reliably correct on what modern warehouses already ship, rather than shipping new features.
◆ Prediction
The v2.0 stable tag is imminent — RC.2's fixes are narrow and precision-targeted, not broad. Post-2.0 expect a Fusion manifest integration stabilization push, given that 1.12.4 shipped two fixes specifically for Fusion-generated manifests.
Deepnote
6.3ANALYTICS
Deepnote reshapes the data notebook into agent-operable infrastructure.
◆ Current state
Deepnote, a collaborative data-science notebook, is steadily making itself agent-native: MCP tools now let AI agents create and wire integrations end-to-end, and OpenAI's Codex connects natively to a Deepnote workspace's notebooks, schedules, and data. Underneath, it keeps shipping solid workflow features — run snapshots, Git and GitLab sync, Polars, PDF export.
◆ Where it's heading
Two tracks are converging: reproducibility and engineering rigor (immutable run snapshots, Git sync, notebook interoperability) and agent-operability (MCP tools, Codex context). Deepnote is positioning the workspace as the trusted context layer that AI agents act through, not just a place humans write notebooks.
◆ Prediction
Expect more MCP tooling that lets agents operate Deepnote projects autonomously, plus deeper native hooks for external coding agents — the workspace-as-agent-context bet will likely expand beyond Codex.
Alternatives to dbt Core and Deepnote
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 Deepnote.
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 dbt Core alternatives → · See all Deepnote alternatives →
Recent activity from dbt Core and Deepnote
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 19h agodbt Coredbt 1.12.5: MetricFlow protocol fix and v2 install banner
- 1d agodbt Coredbt 2.0.2 test-PyPI build
- 5d agodbt Coredbt 2.0.0-rc.2: ClickHouse MV support and Snowflake interactive_table beta
- 7d agodbt Coredbt 2.0.0-dev.39 test-PyPI: ClickHouse ADBC driver settings
- 7d agodbt Coredbt 2.0.0-dev.38 test-PyPI: ClickHouse ADBC driver settings
- 7d agodbt Coredbt 2.0.0-dev.37 test-PyPI: ClickHouse ADBC driver settings
- 2mo agoDeepnoteNew MCP tools for integrations
- 3mo agoDeepnoteYour workspace as the context for every exploration ⚡
- 4mo agoDeepnoteRun snapshots, Git sync, & AI usage visibility
- 4mo agoDeepnoteRun snapshots, Git sync, Polars support, PDF export, & a cleaner notebook
- 4mo agoDeepnoteRun snapshots, Git sync, Polars support, PDF export, & a cleaner notebook
- 5mo agoDeepnotePolars support, PDF export & a cleaner notebook
Frequently asked questions
What is the difference between dbt Core and Deepnote?
They serve adjacent needs but don't currently overlap on shipped themes. dbt Core and Deepnote are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). 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 Deepnote?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dbt Core and Deepnote are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). 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 Deepnote?
Top Deepnote alternatives in Analytics are ranked by recent ship velocity. Browse the "Deepnote alternatives" section above for the current picks, or visit /alternatives/deepnote for the full list with editorial commentary on each.