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Dagster vs Marquez

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

Dagster vs Marquez: at a glance

FeatureDagsterMarquez
SectorAnalyticsAnalytics
Velocity score5.00.0
Sparks · 30d00
Top themesorchestration, mcp, dbt-fusion, dagster-plusopenlineage, data-lineage, observability, metadata
Last editorial update5h ago3mo ago
WebsiteVisit →Visit →

What is Dagster?

Dagster drops Python 3.10 and lets agents run schedules and sensors through MCP.

Dagster's 1.13 line ships weekly and follows two threads. dagster-dbt no longer installs dbt-core and gained a dbt v2 extra for the Fusion engine, while the UI keeps getting phone layouts and faster search and catalog pages. 1.13.30 on November 12 makes Python 3.11 the minimum and widens the Dagster+ MCP server to reading and toggling schedules and sensors and managing partitions.

Read the full Dagster trajectory →

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 →

Dagster vs Marquez: editorial side-by-side

D
Dagster
ANALYTICS
5.0

Dagster drops Python 3.10 and lets agents run schedules and sensors through MCP.

◆ Current state

Dagster's 1.13 line ships weekly and follows two threads. dagster-dbt no longer installs dbt-core and gained a dbt v2 extra for the Fusion engine, while the UI keeps getting phone layouts and faster search and catalog pages. 1.13.30 on November 12 makes Python 3.11 the minimum and widens the Dagster+ MCP server to reading and toggling schedules and sensors and managing partitions.

◆ Where it's heading

The Dagster+ MCP server has grown release by release, from launching runs without a code location in September to controlling schedules, sensors and partitions now. Combined with the dbt split, Dagster is trimming legacy dependencies while making the orchestrator something an agent can operate, not just a person in the UI.

◆ Prediction

The MCP server still lacks write access to things like backfills and alert policies, so expanding it there is the most visible next step; further Python and dbt version floors are likely to follow the 3.10 cut.

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.

Alternatives to Dagster and Marquez

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 Dagster or Marquez.

See all Dagster alternatives → · See all Marquez alternatives →

Recent activity from Dagster and Marquez

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

  1. 1d agoDagster1.13.30: Python 3.11 minimum, more Dagster+ MCP tools
  2. 8d agoDagster1.13.29: more mobile layouts, faster search and catalog
  3. 14d agoDagster1.13.28: dbt v2 extra and retries for failed code locations
  4. 18d agoDagster1.13.27: mobile run details, bounded BigQuery Insights scans
  5. 1mo agoDagster1.13.26: dagster-dbt stops installing dbt-core
  6. 1mo agoDagster1.13.25: phone layout for the Dagster UI, ECS run resumes
  7. 2y 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 Dagster and Marquez?

They serve adjacent needs but don't currently overlap on shipped themes. Dagster is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 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 Dagster better than Marquez?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Dagster is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 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 Dagster?

Top Dagster alternatives in Analytics are ranked by recent ship velocity. Browse the "Dagster alternatives" section above for the current picks, or visit /alternatives/dagster for the full list with editorial commentary on each.

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.