OpenDataDiscovery
Four ODD Platform releases in two weeks, and not one of them changes the product
Comparison · Analytics
Omni vs Apache Superset
A side-by-side editorial comparison of Omni and Apache Superset — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:business-intelligence
Omni vs Apache Superset: at a glance
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 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.
What is Apache Superset?
Superset's tracked feed is a Helm chart tag stream with no notes attached.
The feed being tracked carries Apache Superset's Helm chart releases rather than Superset itself. Six chart versions landed between mid-July and 10 August, walking 0.21.x up to 0.22.5, and every entry carries only the project's boilerplate one-line description. What actually changed in any given chart bump is not disclosed in the feed.
Omni vs Apache Superset: editorial side-by-side
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 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.
◆ Where it's heading
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.
◆ Prediction
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.
Apache Superset
5.0ANALYTICS
Superset's tracked feed is a Helm chart tag stream with no notes attached.
◆ Current state
The feed being tracked carries Apache Superset's Helm chart releases rather than Superset itself. Six chart versions landed between mid-July and 10 August, walking 0.21.x up to 0.22.5, and every entry carries only the project's boilerplate one-line description. What actually changed in any given chart bump is not disclosed in the feed.
◆ Where it's heading
Chart releases are arriving roughly weekly, which points to steady packaging maintenance underneath — image bumps, template corrections, values-file changes — rather than a visible product push. Because the feed publishes no notes, the deployment layer is the only Superset surface observable here. Anyone tracking application-level work needs the core repository, not this stream.
◆ Prediction
The cadence supports exactly one confident call: more chart point releases within weeks. The entries carry no content indicating what those bumps will contain.
Alternatives to Omni and Apache Superset
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 Omni or Apache Superset.
Apache Baremaps
Baremaps got geoparquet and hillshading, then went quiet for eighteen months in incubation
Deequ
Deequ ships GitHub tags whose release notes are one commit message long
Marquez
Marquez spent 2024 turning a lineage store into a UI, then stopped releasing
Amundsen
Amundsen's last release was a config flag, and the feed has been silent for two years
OpenHouse
LinkedIn's Iceberg control plane, shipping one pull request per release.
See all Omni alternatives → · See all Apache Superset alternatives →
Recent activity from Omni and Apache Superset
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 18h agoOmniOmni adds presentation mode and a searchDashboards MCP tool
- 1d agoApache Supersetsuperset-helm-chart-0.22.5
- 7d agoOmniOmni adds AI credit controls per user and embed entity group
- 14d agoOmniAI semantic model generation goes generally available in Omni ⚡
- 14d agoApache Supersetsuperset-helm-chart-0.22.4
- 18d agoApache Supersetsuperset-helm-chart-0.22.3
- 19d agoApache Supersetsuperset-helm-chart-0.22.2
- 20d agoApache Supersetsuperset-helm-chart-0.22.1
- 21d agoOmniOmni adds AI suggestion endpoints and OAuth for database connections
- 23d agoApache Supersetsuperset-helm-chart-0.22.0
- 28d agoOmniOmni brings AI routines to Slack and adds in-app MCP settings
- 1mo agoOmniOmni adds AccessBoost for Apps and dbt deploy-token auth
Frequently asked questions
What is the difference between Omni and Apache Superset?
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 Omni better than Apache Superset?
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 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.
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/superset for the full list with editorial commentary on each.