← Back to home
Comparison · Analytics

Lightdash vs Dagster

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

Lightdash vs Dagster: at a glance

FeatureLightdashDagster
SectorAnalyticsAnalytics
Velocity score5.05.0
Sparks · 30d00
Top themesbusiness intelligence, semantic layer, ai agents, mobileorchestration, mcp, dbt-fusion, dagster-plus
Last editorial update19h ago4h ago
Website—Visit →

What is Lightdash?

Lightdash goes mobile, with Ask AI, custom charts and home-screen widgets on iOS and Android.

Lightdash is an open-source BI layer turning its semantic layer into a workspace for AI agents. Its new iOS and Android apps show dashboards, saved charts, custom chart types and data apps, let users ask the AI agent questions, work offline and pin charts as home-screen widgets. October made Chart Studio available to all cloud users and added reusable agent skills.

Read the full Lightdash trajectory →

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 →

Lightdash vs Dagster: editorial side-by-side

L
Lightdash
ANALYTICS
5.0

Lightdash goes mobile, with Ask AI, custom charts and home-screen widgets on iOS and Android.

◆ Current state

Lightdash is an open-source BI layer turning its semantic layer into a workspace for AI agents. Its new iOS and Android apps show dashboards, saved charts, custom chart types and data apps, let users ask the AI agent questions, work offline and pin charts as home-screen widgets. October made Chart Studio available to all cloud users and added reusable agent skills.

◆ Where it's heading

The AI agent is becoming the main way into Lightdash: first through skills and MCP, now through a phone app where Ask AI sits beside dashboards. Each surface reuses the same semantic layer and custom chart types rather than building separate mobile views.

◆ Prediction

Expect mobile to pick up agent features such as skills or scheduled deliveries, and more ways for agents outside the app to reach the semantic layer.

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.

Alternatives to Lightdash and Dagster

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 Lightdash or Dagster.

See all Lightdash alternatives → · See all Dagster alternatives →

Recent activity from Lightdash and Dagster

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

  1. 1d agoDagster1.13.30: Python 3.11 minimum, more Dagster+ MCP tools
  2. 3d agoLightdash📱 Lightdash Mobile
  3. 8d agoDagster1.13.29: more mobile layouts, faster search and catalog
  4. 14d agoDagster1.13.28: dbt v2 extra and retries for failed code locations
  5. 18d agoDagster1.13.27: mobile run details, bounded BigQuery Insights scans
  6. 23d agoLightdash🧩 Chart Studio, now available for all cloud users
  7. 1mo agoDagster1.13.26: dagster-dbt stops installing dbt-core
  8. 1mo agoLightdash🎓 Teach your AI agents reusable skills ⚡
  9. 1mo agoDagster1.13.25: phone layout for the Dagster UI, ECS run resumes
  10. 1mo agoLightdash🪆 Explore nested and repeated columns
  11. 1mo agoLightdash✅ Promote, own, and find verified content
  12. 2mo agoLightdash🔌 Test your warehouse connection before you save it

Frequently asked questions

What is the difference between Lightdash and Dagster?

They serve adjacent needs but don't currently overlap on shipped themes. Lightdash and Dagster are shipping at a similar cadence (velocity 5.0 vs 5.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Lightdash better than Dagster?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Lightdash and Dagster are shipping at a similar cadence (velocity 5.0 vs 5.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to Lightdash?

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

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.