Chord
Chord's AI assistant is evolving from a stateless query tool into a persistent knowledge layer for ecommerce analytics teams.
A side-by-side editorial comparison of dbt Core and Holistics — release velocity, themes, recent moves, and the top alternatives to consider.
dbt 2.0 ships — proprietary binary forks from dbt-oss as AI agent skills land
dbt just shipped its 2.0.0 GA release, formally splitting the codebase into a proprietary 'dbt' binary (the Fusion engine) and 'dbt-oss'. The 2.0 release adds AI agent skill installs from packages, native Databricks metric view materializations, and a new ClickHouse ADBC driver. Post-2.0 dev builds (dev.41) are already extending Lake Compute with Databricks Unity Catalog read access.
Holistics connects to warehouse-native semantic layers, shifting from semantic owner to governed exploration layer.
Holistics is a code-first BI platform built around AML (Analytics Modeling Language). The current release cadence shows two parallel threads: strengthening its code-first fundamentals (Markdown as first-class analytics objects, explicit interaction syntax for Canvas dashboards) and adding governance for AI access to data (per-user MCP controls, AI query tracing that identifies which surface triggered a warehouse query). The UX is also being refreshed — a new universal sidebar navigation shipped alongside dark/light mode theming. Shipping cadence is high; almost every week brings a user-visible change.
dbt just shipped its 2.0.0 GA release, formally splitting the codebase into a proprietary 'dbt' binary (the Fusion engine) and 'dbt-oss'. The 2.0 release adds AI agent skill installs from packages, native Databricks metric view materializations, and a new ClickHouse ADBC driver. Post-2.0 dev builds (dev.41) are already extending Lake Compute with Databricks Unity Catalog read access.
The proprietary/OSS fork is the defining structural move: dbt (proprietary) will accumulate AI-adjacent features — agent skills, Lake Compute, Databricks-specific materializations — while dbt-oss serves the backward-compat install base. The agent skills system (SKILL.md packages) is early but establishes a plugin surface for AI workflow definitions inside dbt runs. Expect the Databricks surface to keep widening as Lake Compute moves toward write support.
Next likely move: agent skills expand from installation-only to execution, and Lake Compute adds write paths or more Unity Catalog capabilities. The ClickHouse ADBC driver work may also get a GA tag soon given the volume of RC iterations.
Holistics is a code-first BI platform built around AML (Analytics Modeling Language). The current release cadence shows two parallel threads: strengthening its code-first fundamentals (Markdown as first-class analytics objects, explicit interaction syntax for Canvas dashboards) and adding governance for AI access to data (per-user MCP controls, AI query tracing that identifies which surface triggered a warehouse query). The UX is also being refreshed — a new universal sidebar navigation shipped alongside dark/light mode theming. Shipping cadence is high; almost every week brings a user-visible change.
The Snowflake and Databricks semantic layer integration is the most strategically significant move in the current cycle. Rather than requiring customers to migrate their semantic definitions into Holistics, the product now consumes warehouse-native semantics directly. This repositions Holistics from a tool that owns the semantic model to a visualization and embedding layer that works with wherever semantics are already defined. Paired with AI governance features (MCP access controls, AI trace), the trajectory points toward Holistics becoming the exploration and AI-safe access layer sitting on top of the data warehouse — not competing with it.
If Snowflake and Databricks semantic integration gains traction, the next logical expansion is to BigQuery and Redshift semantic layers. The AI governance thread — per-user MCP controls and query tracing — will likely deepen as enterprise customers demand auditable records of what AI agents are reading and running.
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 Holistics.
Chord's AI assistant is evolving from a stateless query tool into a persistent knowledge layer for ecommerce analytics teams.
Fulcrum ships an MCP server for AI-managed form building while Photo FastFill pushes toward general availability.
Tinybird builds out MCP tooling for LLM-driven data access while hardening its ingestion pipeline
Basedash makes its MCP server writable — AI agents can now author dashboards on your behalf
OpenObserve hits v1.0 GA with first-class AI Observability and SLOs, then stabilizes fast.
Lightdash ships AI-described custom chart types and a content governance overhaul in one week
See all dbt Core alternatives → · See all Holistics 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 and Holistics are shipping at a similar cadence (velocity 7.5 vs 7.5, 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 Holistics are shipping at a similar cadence (velocity 7.5 vs 7.5, 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 Holistics alternatives in Analytics are ranked by recent ship velocity. Browse the "Holistics alternatives" section above for the current picks, or visit /alternatives/holistics for the full list with editorial commentary on each.