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Comparison · Analytics
Apify vs Dagster
A side-by-side editorial comparison of Apify and Dagster — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:mcp
Apify vs Dagster: at a glance
| Feature | Apify | Dagster |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 5.0 | 5.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | ai-agents, mcp, actor-marketplace, breaking-changes | orchestration, mcp, dbt-fusion, dagster-plus |
| Last editorial update | 12d ago | 5h ago |
| Website | — | Visit → |
What is Apify?
Apify reshapes its Store API for agents, and it will break some integrations on Nov 15.
Apify's October work treats AI agents as the main Store client. On November 15, GET /v2/store moves to a relevance-ranked search backend: search returns a single page of at most 100 results, offset and sortBy are ignored, total and count change meaning, and noisy fields are dropped to save agent context. Earlier in October, the MCP server gained tools to build Actors, read build and run logs and read source files, and the Store was regrouped into use-case categories.
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.
Apify vs Dagster: editorial side-by-side
Apify
5.0ANALYTICS
Apify reshapes its Store API for agents, and it will break some integrations on Nov 15.
◆ Current state
Apify's October work treats AI agents as the main Store client. On November 15, GET /v2/store moves to a relevance-ranked search backend: search returns a single page of at most 100 results, offset and sortBy are ignored, total and count change meaning, and noisy fields are dropped to save agent context. Earlier in October, the MCP server gained tools to build Actors, read build and run logs and read source files, and the Store was regrouped into use-case categories.
◆ Where it's heading
The arc from June to now is consistent: MCP connectors, x402 payments for agents without accounts, Apify AI for plain-English runs, and now a Store API and MCP toolset tuned for agents over human paging. Apify is accepting breakage for existing integrations in exchange for better agent results.
◆ Prediction
Expect migration guidance and possibly a grace period around the November 15 cutover, followed by more MCP tools moving into the default set.
Dagster
5.0ANALYTICS
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 Apify 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 Apify or Dagster.
Dovetail
Dovetail lets admins choose which connectors members can plug into the workspace.
OpenHouse
OpenHouse adds time-zone-aware retention and per-database table caps.
Countly
Countly 25.03.59 defaults to Node 26, supports MongoDB 9 and tightens app scoping.
Kubecost
Kubecost cuts three 3.3.2 release candidates in two days, still without notes.
RStudio
RStudio opens the 2026.11 train with another NOTICE file update.
See all Apify alternatives → · See all Dagster alternatives →
Recent activity from Apify and Dagster
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoDagster1.13.30: Python 3.11 minimum, more Dagster+ MCP tools
- 8d agoDagster1.13.29: more mobile layouts, faster search and catalog
- 14d agoDagster1.13.28: dbt v2 extra and retries for failed code locations
- 15d agoApifyApify Store API: new search backend and breaking changes
- 18d agoDagster1.13.27: mobile run details, bounded BigQuery Insights scans
- 29d agoApifyBuild and debug Actors with new Apify MCP tools
- 1mo agoDagster1.13.26: dagster-dbt stops installing dbt-core
- 1mo agoApifyFind Actors by use case with new Store categories
- 1mo agoDagster1.13.25: phone layout for the Dagster UI, ECS run resumes
- 2mo agoApifyCreate an Actor with a Git repo in a few clicks
- 3mo agoApifyApify AI (beta) is live. Describe what you need and get results ⚡
- 4mo agoApifyPay for Apify Actors with x402 ⚡
Frequently asked questions
What is the difference between Apify and Dagster?
Both compete on the same themes — mcp — within Analytics. Apify 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 Apify better than Dagster?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apify 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 Apify?
Top Apify alternatives in Analytics are ranked by recent ship velocity. Browse the "Apify alternatives" section above for the current picks, or visit /alternatives/apify 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.