Fulcrum
Fulcrum is consolidating on Esri, with Google Maps gone September 1
A side-by-side editorial comparison of Holistics and Omni — release velocity, themes, recent moves, and the top alternatives to consider.
Holistics keeps converting GUI-only BI objects into code, one class at a time.
The recent window moved custom charts into AML so they can be defined as code, built through a GUI and previewed against real data, and gave every file — dashboards, models, datasets — its own version timeline with per-file restore that does not revert anyone else's work. Smaller quality-of-life work landed alongside: theme-level color palettes, date-range presets and typed shorthands, chart suggestions in Explore, and custom currency and unit formats.
Omni ships weekly, and almost every week the headline item is an AI feature
Omni publishes a dated weekly digest whose body is a single line listing that week's items, so each entry compresses several releases into a sentence. Across seven consecutive weeks the pattern is unmistakable: AI-powered semantic model generation reaching general availability, AI Routines creatable from chat and deliverable to Slack, AI model suggestion endpoints, AI credit controls scoped to embed entity groups and individual users, AI Evals support on Azure, and MCP surfaces appearing both in-app and as a searchDashboards tool. The non-AI items are steady BI plumbing — OAuth and GitHub App authentication for dbt connections, mobile dashboard settings, map legend positioning, presentation mode.
The recent window moved custom charts into AML so they can be defined as code, built through a GUI and previewed against real data, and gave every file — dashboards, models, datasets — its own version timeline with per-file restore that does not revert anyone else's work. Smaller quality-of-life work landed alongside: theme-level color palettes, date-range presets and typed shorthands, chart suggestions in Explore, and custom currency and unit formats.
Holistics is steadily giving GUI concepts an AML representation while keeping a visual path to the same result, and file history extends a software-engineering model to objects that were previously edited in place. The last several releases are polish on top of that spine rather than new capability, which suggests the code-first migration sets the agenda and the surface work fills in behind it.
Expect more object types to gain AML definitions and version timelines; the cadence so far has been roughly one object class per release cycle.
Omni publishes a dated weekly digest whose body is a single line listing that week's items, so each entry compresses several releases into a sentence. Across seven consecutive weeks the pattern is unmistakable: AI-powered semantic model generation reaching general availability, AI Routines creatable from chat and deliverable to Slack, AI model suggestion endpoints, AI credit controls scoped to embed entity groups and individual users, AI Evals support on Azure, and MCP surfaces appearing both in-app and as a searchDashboards tool. The non-AI items are steady BI plumbing — OAuth and GitHub App authentication for dbt connections, mobile dashboard settings, map legend positioning, presentation mode.
Two things are happening in parallel and they are related. Omni is pushing AI into the modelling layer rather than only the query layer, which is what semantic model generation reaching GA signifies — the artifact that normally takes an analytics engineer weeks is being generated. At the same time it is building the commercial and access controls that AI features require: credit limits per user and per embed entity group arrived within weeks of the AI capabilities that consume them. The MCP work points at a third direction, exposing Omni's content to external agents rather than only serving its own chat.
Credit controls appearing so soon after the AI features suggests consumption limits will keep expanding to cover newer surfaces, and with searchDashboards shipped as an MCP tool, more of Omni's catalog is the obvious next thing to expose that way.
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 Holistics or Omni.
Fulcrum is consolidating on Esri, with Google Maps gone September 1
Four ODD Platform releases in two weeks, and not one of them changes the product
Baremaps got geoparquet and hillshading, then went quiet for eighteen months in incubation
Deequ ships GitHub tags whose release notes are one commit message long
Marquez spent 2024 turning a lineage store into a UI, then stopped releasing
Amundsen's last release was a config flag, and the feed has been silent for two years
See all Holistics alternatives → · See all Omni alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — business-intelligence — within Analytics. Omni is currently shipping more aggressively (velocity 6.3 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. Omni is currently shipping more aggressively (velocity 6.3 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 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.
Top Omni alternatives in Analytics are ranked by recent ship velocity. Browse the "Omni alternatives" section above for the current picks, or visit /alternatives/omni for the full list with editorial commentary on each.