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 Neo4j — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | dbt Core | Neo4j |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 6.3 | 7.5 |
| Sparks · 30d | 0 | 1 |
| Top themes | data-transformation, sql-compilation, clickhouse, databricks | graph-database, agentic, data-warehouse, abac |
| Last editorial update | 3d ago | 10d ago |
| Website | Visit → | — |
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.
Neo4j's Virtual Graph lets you run Cypher against Snowflake and BigQuery without moving any data.
Neo4j is expanding Aura's geographic reach (AWS London and Montreal this week) while pushing two substantial capability betas: Virtual Graph — a zero-copy bridge that translates Cypher to SQL against BigQuery, Databricks, and Snowflake — and Multiple Databases in a single instance. The August release also shipped native UUID types in Cypher 25 and ABAC for fine-grained access control.
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.
Neo4j is expanding Aura's geographic reach (AWS London and Montreal this week) while pushing two substantial capability betas: Virtual Graph — a zero-copy bridge that translates Cypher to SQL against BigQuery, Databricks, and Snowflake — and Multiple Databases in a single instance. The August release also shipped native UUID types in Cypher 25 and ABAC for fine-grained access control.
Neo4j is positioning itself as the graph layer on top of existing data warehouses rather than a replacement for them. Virtual Graph and ABAC together signal a push into enterprise data architectures where teams have data in Snowflake or BigQuery and want graph traversal without ETL. The multiple-databases GA (coming in months per the release) reinforces that Aura is targeting organizations running multiple isolated tenants on a single cluster.
Virtual Graph will likely exit preview with paid pricing attached once the query-pushdown behavior stabilizes; the next move is probably native support for LLM embedding pipelines that stay in Aura without exporting data to a warehouse.
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 Neo4j.
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See all dbt Core alternatives → · See all Neo4j alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Neo4j is currently shipping more aggressively (velocity 7.5 vs 6.3), 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. Neo4j is currently shipping more aggressively (velocity 7.5 vs 6.3), 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 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 Neo4j alternatives in Analytics are ranked by recent ship velocity. Browse the "Neo4j alternatives" section above for the current picks, or visit /alternatives/neo4j for the full list with editorial commentary on each.