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Comparison · Analytics
Apache Superset vs Omni
A side-by-side editorial comparison of Apache Superset and Omni — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:business-intelligence
Apache Superset vs Omni: at a glance
What is Apache Superset?
Superset's public release feed is now only Helm chart bumps; the app's own changelog is elsewhere.
The last ten entries on this feed are consecutive Helm chart tags, 0.20.0 through 0.22.6, spanning about a month. Each carries only the repository's one-line boilerplate description — no release notes, no changed chart values, no indication of what moved. Nothing in this window describes a change to Superset the application.
What is Omni?
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 the window 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 on Azure, and MCP surfaces appearing both in-app and as a searchDashboards tool. The most recent week breaks that streak — default filters on composite topics, stopping a running dashboard query, full-screen preview editing — the first digest in two months led by conventional BI work.
Apache Superset vs Omni: editorial side-by-side
Apache Superset
5.0ANALYTICS
Superset's public release feed is now only Helm chart bumps; the app's own changelog is elsewhere.
◆ Current state
The last ten entries on this feed are consecutive Helm chart tags, 0.20.0 through 0.22.6, spanning about a month. Each carries only the repository's one-line boilerplate description — no release notes, no changed chart values, no indication of what moved. Nothing in this window describes a change to Superset the application.
◆ Where it's heading
Chart tags are landing every few days, which reads as active deployment-packaging maintenance rather than product movement. Because the tags carry no notes, there is no way from this feed to separate a chart-only fix from one that ships a new Superset image. Judging the product's direction from this source is not possible; that signal lives in the application releases, which this feed does not carry.
◆ Prediction
The chart-tag cadence will most likely continue at a few per week on the evidence of the past month. What these entries do not show is whether any of them accompany a Superset application release, so a confident read on product direction is not available here.
Omni
6.3ANALYTICS
Omni ships weekly, and almost every week the headline item is an AI feature.
◆ Current state
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 the window 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 on Azure, and MCP surfaces appearing both in-app and as a searchDashboards tool. The most recent week breaks that streak — default filters on composite topics, stopping a running dashboard query, full-screen preview editing — the first digest in two months led by conventional BI work.
◆ Where it's heading
Two things have been happening in parallel and they are related. Omni pushed AI into the modelling layer rather than only the query layer, which is what semantic model generation reaching GA signified, then built the commercial and access controls those features require — credit limits per user and per embed entity group arrived within weeks of the 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. The latest week's return to filters and query controls suggests the AI surface has reached the point where the surrounding product has to catch up to it.
◆ Prediction
With searchDashboards already shipped as an MCP tool, more of Omni's catalog is the obvious next thing to expose that way, and credit controls should keep extending to cover newer AI surfaces. Whether the non-AI week is a pause or a genuine rebalancing is not something one digest can settle.
Alternatives to Apache Superset and Omni
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 Apache Superset or Omni.
silx
silx settles into maintenance a release after its PySide6 migration
Plotly
Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.
aniread
aniread stops asking you to know which tracker wrote the file
Rho
Rho's release machinery finally produced a stable build — and it shipped no new product.
Usermaven
Usermaven closed the loop: data comes in from anywhere, and now it goes back out.
See all Apache Superset alternatives → · See all Omni alternatives →
Recent activity from Apache Superset and Omni
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 15h agoOmniOmni adds default filters on composite topics and query stopping
- 5d agoApache SupersetSuperset Helm chart 0.22.6 (packaging)
- 8d agoOmniOmni adds presentation mode and a searchDashboards MCP tool
- 9d agoApache SupersetSuperset Helm chart 0.22.5 (packaging)
- 15d agoOmniOmni adds AI credit controls per user and embed entity group
- 22d agoOmniAI semantic model generation goes generally available in Omni ⚡
- 22d agoApache SupersetSuperset Helm chart 0.22.4 (packaging)
- 25d agoApache SupersetSuperset Helm chart 0.22.3 (packaging)
- 27d agoApache SupersetSuperset Helm chart 0.22.2 (packaging)
- 28d agoApache SupersetSuperset Helm chart 0.22.1 (packaging)
- 29d agoOmniOmni adds AI suggestion endpoints and OAuth for database connections
- 1mo agoOmniOmni brings AI routines to Slack and adds in-app MCP settings
Frequently asked questions
What is the difference between Apache Superset and Omni?
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.
Is Apache Superset better than Omni?
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.
What are the best alternatives to Apache Superset?
Top Apache Superset alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Superset alternatives" section above for the current picks, or visit /alternatives/apache-superset for the full list with editorial commentary on each.
What are the best alternatives to Omni?
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.