← Back to home
Comparison · Analytics

Appfigures vs Dagster

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

Shared themes:mcp

Appfigures vs Dagster: at a glance

FeatureAppfiguresDagster
SectorAnalyticsAnalytics
Velocity score2.55.0
Sparks · 30d00
Top themesapp-intelligence, mcp, ai-agents, mobile-analyticsorchestration, mcp, dbt-fusion, dagster-plus
Last editorial update2d ago5h ago
Website—Visit →

What is Appfigures?

Appfigures has made its app-market data something AI agents can query directly.

Appfigures' biggest recent move was opening its data to AI agents, first through a CLI in August and then a remote MCP server in September that works in ChatGPT, Claude and others without a terminal. Before that it broadened the data itself with cross-store Leaderboards and iPad-inclusive estimates. The newest release, automatic dark mode, is interface polish.

Read the full Appfigures 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 →

Appfigures vs Dagster: editorial side-by-side

A
Appfigures
ANALYTICS
2.5

Appfigures has made its app-market data something AI agents can query directly.

◆ Current state

Appfigures' biggest recent move was opening its data to AI agents, first through a CLI in August and then a remote MCP server in September that works in ChatGPT, Claude and others without a terminal. Before that it broadened the data itself with cross-store Leaderboards and iPad-inclusive estimates. The newest release, automatic dark mode, is interface polish.

◆ Where it's heading

Appfigures is repositioning from a dashboard you visit to a data source your agent consults. The CLI-then-MCP sequence lowered the setup cost each time, and the dataset expansions make that agent access more useful. The web app keeps getting quality-of-life work, but the strategic energy is in the agent channel.

◆ Prediction

Expect more MCP-exposed actions such as review replies or ASO changes, and agent-oriented additions to the dataset; the entries don't show pricing for agent access yet, so how it is monetized is unclear.

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 Appfigures 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 Appfigures or Dagster.

See all Appfigures alternatives → · See all Dagster alternatives →

Recent activity from Appfigures 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. 2d agoAppfiguresDark mode is here
  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. 1mo agoDagster1.13.26: dagster-dbt stops installing dbt-core
  7. 1mo agoDagster1.13.25: phone layout for the Dagster UI, ECS run resumes
  8. 1mo agoAppfiguresIntroducing Appfigures MCP
  9. 3mo agoAppfiguresIntroducing the Appfigures CLI ⚡
  10. 4mo agoAppfiguresIntroducing Appfigures Leaderboards
  11. 6mo agoAppfiguresApp Intelligence for iPad
  12. 11mo agoAppfiguresSupport for By State Financial Reports via the API

Frequently asked questions

What is the difference between Appfigures and Dagster?

Both compete on the same themes — mcp — within Analytics. Dagster is currently shipping more aggressively (velocity 5.0 vs 2.5), 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 Appfigures better than Dagster?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Dagster is currently shipping more aggressively (velocity 5.0 vs 2.5), 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 Appfigures?

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