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Comparison · Analytics

Marquez vs Omni

A side-by-side editorial comparison of Marquez and Omni — release velocity, themes, recent moves, and the top alternatives to consider.

Marquez vs Omni: at a glance

FeatureMarquezOmni
SectorAnalyticsAnalytics
Velocity score0.06.3
Sparks · 30d01
Top themesopenlineage, data-lineage, observability, metadatabusiness-intelligence, semantic-model, ai-routines, mcp
Last editorial update2h ago2h ago
WebsiteVisit →Visit →

What is Marquez?

Marquez spent 2024 turning a lineage store into a UI, then stopped releasing

Marquez is the reference metadata server for OpenLineage, and this window captures a concentrated push on its web interface: a column-lineage page and redesigned lineage graph in 0.45.0, data quality and job status displays in 0.47.0, and a data observability dashboard in 0.50.0 showing event stats over 24-hour and 7-day windows with per-source, per-dataset and per-job views. The API side moved in step — job tagging, dataset schema versions, paging on jobs and dataset versions, job-to-job lineage, richer metrics labels. One contributor accounts for nearly all the web work in these entries. Note that the 0.45 through 0.49 releases were all stamped within three minutes of each other and in reverse version order, so publication timestamps here do not reflect release order.

Read the full Marquez trajectory →

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.

Read the full Omni trajectory →

Marquez vs Omni: editorial side-by-side

M
Marquez
ANALYTICS
0.0

Marquez spent 2024 turning a lineage store into a UI, then stopped releasing

◆ Current state

Marquez is the reference metadata server for OpenLineage, and this window captures a concentrated push on its web interface: a column-lineage page and redesigned lineage graph in 0.45.0, data quality and job status displays in 0.47.0, and a data observability dashboard in 0.50.0 showing event stats over 24-hour and 7-day windows with per-source, per-dataset and per-job views. The API side moved in step — job tagging, dataset schema versions, paging on jobs and dataset versions, job-to-job lineage, richer metrics labels. One contributor accounts for nearly all the web work in these entries. Note that the 0.45 through 0.49 releases were all stamped within three minutes of each other and in reverse version order, so publication timestamps here do not reflect release order.

◆ Where it's heading

The arc is a backend project growing a front end: lineage data that existed in the API was progressively given pages, panels and paging, and by 0.50.0 the framing had shifted from lineage graph to observability dashboard. Tagging deepened in the same period, moving from dataset tags to field-level tags to job tags. That arc stops abruptly — 0.50.0 in October 2024 is the last entry, with nothing published in the roughly two years since.

◆ Prediction

The entries give no roadmap signal past 0.50.0, and the job-to-job lineage change was explicitly framed as a prompt for a wider parent/child hierarchy discussion that no later release picks up, so that hierarchy work is best read as unfinished rather than planned.

O
Omni
ANALYTICS
6.3

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.

Alternatives to Marquez 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 Marquez or Omni.

See all Marquez alternatives → · See all Omni alternatives →

Recent activity from Marquez and Omni

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 18h agoOmniOmni adds presentation mode and a searchDashboards MCP tool
  2. 7d agoOmniOmni adds AI credit controls per user and embed entity group
  3. 14d agoOmniAI semantic model generation goes generally available in Omni
  4. 21d agoOmniOmni adds AI suggestion endpoints and OAuth for database connections
  5. 28d agoOmniOmni brings AI routines to Slack and adds in-app MCP settings
  6. 1mo agoOmniOmni adds AccessBoost for Apps and dbt deploy-token auth
  7. 1y agoMarquezMarquez 0.50.0 adds a data observability dashboard
  8. 2y agoMarquezMarquez 0.45.0 ships a column lineage page and redesigned graph
  9. 2y agoMarquezMarquez 0.46.0 cleans up the UI and fixes streaming terminal events
  10. 2y agoMarquezMarquez 0.47.0 adds data quality and job status views, job tagging
  11. 2y agoMarquezMarquez 0.49.0 adds job-to-job lineage to the API
  12. 2y agoMarquezMarquez 0.48.0 adds paging and dataset schema versions

Frequently asked questions

What is the difference between Marquez and Omni?

They serve adjacent needs but don't currently overlap on shipped themes. Omni is currently shipping more aggressively (velocity 6.3 vs 0.0), 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 Marquez 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 0.0), 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 Marquez?

Top Marquez alternatives in Analytics are ranked by recent ship velocity. Browse the "Marquez alternatives" section above for the current picks, or visit /alternatives/marquez 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.