Fulcrum
Fulcrum launches MCP + AI Toolkit in Labs, giving AI assistants the ability to build and query Fulcrum forms directly.
A side-by-side editorial comparison of dbt Core and Tinybird — release velocity, themes, recent moves, and the top alternatives to consider.
dbt Core 2.0 is in release candidate, replacing its Python parser with a Rust-based Fusion engine
dbt Core is in a major version transition. The 2.0.0 RC series, now at rc.2, introduces the Fusion parser—a Rust-based replacement for the Python compilation engine—alongside first-party ClickHouse support via the ADBC driver, a new Exasol adapter, and expanded Databricks and Snowflake capabilities. The 1.x line continues to receive maintenance fixes in parallel.
Tinybird makes JSON native by default and sets September 15 as Classic sunset for free plans
Tinybird is executing a deliberate migration from Classic to Forward, its newer platform architecture. September 15 marks the Classic sunset for Free and Developer plans — a real deadline. On the Forward side, the JSON data type is now enabled by default for all workspaces with no opt-in required, the Forward CLI gained job retry support, and the platform added persistent quarantine data and workspace usage trends. Deployment performance improved: changing a joined table in a Materialized View no longer triggers a full downstream rebuild.
dbt Core is in a major version transition. The 2.0.0 RC series, now at rc.2, introduces the Fusion parser—a Rust-based replacement for the Python compilation engine—alongside first-party ClickHouse support via the ADBC driver, a new Exasol adapter, and expanded Databricks and Snowflake capabilities. The 1.x line continues to receive maintenance fixes in parallel.
The architectural story is Fusion: a faster, more correct compilation engine that enables stricter manifest validation, better cross-adapter consistency, and eventual binary distribution for non-Python environments. ClickHouse and Exasol add two new adapters in a single release cycle, suggesting dbt Labs is broadening the platform list as the 2.0 engine makes cross-adapter work cheaper.
The 2.0 GA release is close—the RC cycle is stabilizing. After GA, the Fusion engine will likely unlock new features that were hard to build on the Python parser, including faster parse times and richer lint rules.
Tinybird is executing a deliberate migration from Classic to Forward, its newer platform architecture. September 15 marks the Classic sunset for Free and Developer plans — a real deadline. On the Forward side, the JSON data type is now enabled by default for all workspaces with no opt-in required, the Forward CLI gained job retry support, and the platform added persistent quarantine data and workspace usage trends. Deployment performance improved: changing a joined table in a Materialized View no longer triggers a full downstream rebuild.
The Classic→Forward migration is the overriding strategic thread. Every release either adds Forward capabilities or removes Classic parity gaps. The Forward CLI is maturing into the primary developer interface: job retries, live deployment progress tracking, conditional TTLs, and updated agent skills all landed in recent weeks. Separately, Query API timeout tiering by paid plan and TypeScript SDK improvements point toward a product API push — making Tinybird more accessible to front-end developers embedding analytics directly into products.
The September 15 Classic sunset for free/developer plans will likely trigger a follow-on announcement targeting the Enterprise tier migration. Beyond that, the TypeScript SDK and Query API timeout work suggest Tinybird is positioning for a developer-first API product push, possibly with a richer client SDK story.
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 Tinybird.
Fulcrum launches MCP + AI Toolkit in Labs, giving AI assistants the ability to build and query Fulcrum forms directly.
Holistics is weaving AI governance and proactive alerting into its analytics semantic layer.
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.
Lightdash ships AI-generated custom chart types — describe what you want, get a reusable chart type for your whole project.
OpenCTI ships FIPS-validated base images and a new vulnerability data model, targeting enterprise and government deployments.
See all dbt Core alternatives → · See all Tinybird alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — clickhouse — within Analytics. dbt Core and Tinybird 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dbt Core and Tinybird 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.
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.
Top Tinybird alternatives in Analytics are ranked by recent ship velocity. Browse the "Tinybird alternatives" section above for the current picks, or visit /alternatives/tinybird for the full list with editorial commentary on each.