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 Qlik — 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.
Qlik feed is all marketing — events, webinars, and a subscribe CTA, no product changelog content.
The captured feed contains zero product release notes. All four entries are marketing content from qlik.com pages: the AI Reality Tour event series (May–Oct 2026), AWS Summits 2026 attendance, an open lakehouse ROI webinar, and a generic newsletter subscribe CTA. The actual product-updates blog at qlik.com/blog/category/product-updates/ is referenced but its entries did not land in the feed.
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.
The captured feed contains zero product release notes. All four entries are marketing content from qlik.com pages: the AI Reality Tour event series (May–Oct 2026), AWS Summits 2026 attendance, an open lakehouse ROI webinar, and a generic newsletter subscribe CTA. The actual product-updates blog at qlik.com/blog/category/product-updates/ is referenced but its entries did not land in the feed.
From the marketing posture alone, Qlik is positioning around enterprise AI scaling and open lakehouse architecture — both consistent with a vendor reframing legacy BI as an AI-native data activation platform. But without the product-updates feed, there is no observable product trajectory to comment on. The data on hand cannot support a confident read on where the product itself is heading.
The actionable next step is on the data-collection side, not the product: point the crawler at qlik.com/blog/category/product-updates/ or the Qlik Cloud release notes RSS so future runs have real changelog material. Until then commentary will repeat the 'all marketing' verdict.
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 Qlik.
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 Qlik 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 3.8), 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 3.8), 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 Qlik alternatives in Analytics are ranked by recent ship velocity. Browse the "Qlik alternatives" section above for the current picks, or visit /alternatives/qlik for the full list with editorial commentary on each.