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 Geckoboard — 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.
Geckoboard is refining the dashboard itself — more filtering control and faster data.
Geckoboard's recent work targets the mechanics of building and reading dashboards: multi-value GA4 contains filters, cross-object HubSpot filtering, chart granularity decoupled from timespan, configurable week-start, and webhook-driven instant updates for Zendesk agent status. It also shipped a stacked column chart — its first entirely new visualization in years.
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.
Geckoboard's recent work targets the mechanics of building and reading dashboards: multi-value GA4 contains filters, cross-object HubSpot filtering, chart granularity decoupled from timespan, configurable week-start, and webhook-driven instant updates for Zendesk agent status. It also shipped a stacked column chart — its first entirely new visualization in years.
The direction is steady refinement of the core dashboarding surface rather than expansion into new product areas. Most releases give analysts finer control over how existing metrics are filtered, bucketed, and refreshed — closing small gaps power users hit daily.
Expect more of the same: incremental filtering, visualization, and integration-freshness improvements. The single new chart type may signal appetite for more visualizations, but the entries don't confirm a broader push.
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 Geckoboard.
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.
Holistics connects to warehouse-native semantic layers, shifting from semantic owner to governed exploration layer.
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.
See all dbt Core alternatives → · See all Geckoboard 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 5.0), 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. dbt Core is currently shipping more aggressively (velocity 7.5 vs 5.0), 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 Geckoboard alternatives in Analytics are ranked by recent ship velocity. Browse the "Geckoboard alternatives" section above for the current picks, or visit /alternatives/geckoboard for the full list with editorial commentary on each.