Fulcrum
Fulcrum is consolidating on Esri, with Google Maps gone September 1
A side-by-side editorial comparison of Cube and dbt Core — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Cube | dbt Core |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 6.3 | 7.5 |
| Sparks · 30d | 0 | 2 |
| Top themes | semantic layer, embedded analytics, ai agents, governance | dbt-fusion, rust-rewrite, static-analysis, semantic-layer |
| Last editorial update | 3mo ago | 1d ago |
| Website | — | Visit → |
Cube ships Creator Mode and a Slack agent — embedded BI and agent surfaces in the same month.
Cube is shipping weekly across three coherent fronts: AI agent surfaces (Slack Agent for ad-hoc questions, Analytics Chat under the hood), embedded analytics (Creator Mode lets customers embed the full Cube app, not just dashboards), and the semantic-layer fundamentals (calculated fields in Explore/Workbook, workbook versions, custom chart palettes, refined filtering). Earlier in the period, data masking, the Viewer role, and scheduled-screenshot notifications rounded out the governance and distribution story.
The Rust rewrite crosses from alpha to beta, and it can now bind SQL without touching the warehouse.
dbt is running two release lines at once. The 1.x Python line reached 1.12.0 in July, a GA that removed the experimental dbt login command and the bundled dbt-state plugin outright while adding the v2 semantic layer YAML parsing. The 2.0 Fusion line — the Rust engine — moved through five alphas and reached its first beta on August 10, carrying catalog-free binding, dbt state explain, redundant-test skipping, and a lint rule system that understands node selection.
Cube is shipping weekly across three coherent fronts: AI agent surfaces (Slack Agent for ad-hoc questions, Analytics Chat under the hood), embedded analytics (Creator Mode lets customers embed the full Cube app, not just dashboards), and the semantic-layer fundamentals (calculated fields in Explore/Workbook, workbook versions, custom chart palettes, refined filtering). Earlier in the period, data masking, the Viewer role, and scheduled-screenshot notifications rounded out the governance and distribution story.
Two compounding bets: (1) the semantic layer + AI agent combination is the moat — every release deepens what an agent or human can do over governed data without writing SQL, and (2) embedding goes from "put a dashboard in your app" to "give your users a full BI app inside your product." These are complementary — Creator Mode is more compelling when the embedded experience can also answer questions in Slack and self-heal queries with calculated fields.
Expect Creator Mode to grow more embedding controls (white-labeling, role mapping, audit) since it's positioned for ISVs serving downstream customers. The Slack Agent likely gets siblings (Teams, in-app chat) and tighter wiring to dashboards so an agent can produce a chart, save it, and share it back. Calculated Fields expansion (filtered measures, more types) is already telegraphed in the release notes.
dbt is running two release lines at once. The 1.x Python line reached 1.12.0 in July, a GA that removed the experimental dbt login command and the bundled dbt-state plugin outright while adding the v2 semantic layer YAML parsing. The 2.0 Fusion line — the Rust engine — moved through five alphas and reached its first beta on August 10, carrying catalog-free binding, dbt state explain, redundant-test skipping, and a lint rule system that understands node selection.
Fusion is being built to do statically what dbt-core did by asking the warehouse. Catalog-free binding lets SQL bind without introspection, tests get skipped when they are provably redundant, and dbt State speculatively submits nodes while the dependency prefetch is still in flight — all of it trading round-trips for compile-time analysis. Meanwhile 1.x is absorbing the v2 semantic layer YAML piece by piece, which puts metrics and entities into the model graph itself. Adapter breadth keeps widening in parallel, with Databricks service principal auth, Redshift group grants, and ClickHouse materialization configs.
With beta.1 out, the next milestones are further betas hardening the Fusion feature set toward parity, and continued v2 semantic YAML work landing in the 1.x line.
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 Cube or dbt Core.
Fulcrum is consolidating on Esri, with Google Maps gone September 1
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Baremaps got geoparquet and hillshading, then went quiet for eighteen months in incubation
Deequ ships GitHub tags whose release notes are one commit message long
Marquez spent 2024 turning a lineage store into a UI, then stopped releasing
See all Cube 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 6.3), with 2 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 6.3), with 2 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 Cube alternatives in Analytics are ranked by recent ship velocity. Browse the "Cube alternatives" section above for the current picks, or visit /alternatives/cube 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.