OpenMetadata
OpenMetadata 2.0.8 widens Hex, Sigma and BigQuery coverage while 2.1 waits in release candidates.
A side-by-side editorial comparison of Appfigures and Dagster — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Appfigures | Dagster |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 2.5 | 5.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | app-intelligence, mcp, ai-agents, mobile-analytics | orchestration, mcp, dbt-fusion, dagster-plus |
| Last editorial update | 2d ago | 5h ago |
| Website | — | Visit → |
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.
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.
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.
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.
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.
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.
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.
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.
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.
OpenMetadata 2.0.8 widens Hex, Sigma and BigQuery coverage while 2.1 waits in release candidates.
Dovetail lets admins choose which connectors members can plug into the workspace.
OpenHouse adds time-zone-aware retention and per-database table caps.
Countly 25.03.59 defaults to Node 26, supports MongoDB 9 and tightens app scoping.
Kubecost cuts three 3.3.2 release candidates in two days, still without notes.
RStudio opens the 2026.11 train with another NOTICE file update.
See all Appfigures alternatives → · See all Dagster alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
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.
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.
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.
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.