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Comparison · Analytics
Apache StreamPark vs Dagster
A side-by-side editorial comparison of Apache StreamPark and Dagster — release velocity, themes, recent moves, and the top alternatives to consider.
Apache StreamPark vs Dagster: at a glance
What is Apache StreamPark?
Five release candidates in two years, none of them stable, and none since October 2025.
StreamPark's tracked feed holds five release candidates spanning April 2024 to October 2025, and the notes are extremely thin — three of the five describe a single change each, one of them a Vue router naming bug. The most substantial entry, v2.1.7-rc1, lists four items: Maven argument validation, a license header consistency fix, a login authentication refinement and a Flink configuration file retrieval fix. No stable release appears anywhere in this record.
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.
Apache StreamPark vs Dagster: editorial side-by-side
Apache StreamPark
0.0ANALYTICS
Five release candidates in two years, none of them stable, and none since October 2025.
◆ Current state
StreamPark's tracked feed holds five release candidates spanning April 2024 to October 2025, and the notes are extremely thin — three of the five describe a single change each, one of them a Vue router naming bug. The most substantial entry, v2.1.7-rc1, lists four items: Maven argument validation, a license header consistency fix, a login authentication refinement and a Flink configuration file retrieval fix. No stable release appears anywhere in this record.
◆ Where it's heading
Nothing in these entries describes new capability for the stream processing platform itself. The changes cluster around build tooling, authentication and the web console — the periphery of the product rather than its Flink and Spark job management core. Combined with a cadence of roughly two releases a year and a nine-month gap since the last one, the visible signal is a project in low-activity maintenance.
◆ Prediction
The entries do not support a prediction about direction. What they do warrant is checking whether development moved somewhere this feed does not capture, since a stream processing platform with no stable releases on record is more likely a tracking gap than a complete picture.
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 Apache StreamPark 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 Apache StreamPark 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 Apache StreamPark alternatives → · See all Dagster alternatives →
Recent activity from Apache StreamPark 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
- 18d agoDagster1.13.27: mobile run details, bounded BigQuery Insights scans
- 1mo agoDagster1.13.26: dagster-dbt stops installing dbt-core
- 1mo agoDagster1.13.25: phone layout for the Dagster UI, ECS run resumes
- 1y agoApache StreamParkLogin authentication refined and Flink config retrieval fixed
- 1y agoApache StreamParkVue router naming bug fixed
- 2y agoApache StreamParkMinor application backup improvements
- 2y agoApache StreamParkConcurrent running build projects now capped
- 2y agoApache StreamParkMember permission check improvement
Frequently asked questions
What is the difference between Apache StreamPark and Dagster?
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 Apache StreamPark 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 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 Apache StreamPark?
Top Apache StreamPark alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache StreamPark alternatives" section above for the current picks, or visit /alternatives/streampark 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.