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Comparison · Analytics
Apache HertzBeat vs Dagster
A side-by-side editorial comparison of Apache HertzBeat and Dagster — release velocity, themes, recent moves, and the top alternatives to consider.
Apache HertzBeat vs Dagster: at a glance
What is Apache HertzBeat?
HertzBeat's 1.9.0 is on its second release candidate, and the feed still skips 1.8.0.
HertzBeat's tracked entries are mostly release candidates. v1.9.0-rc1 in July split hertzbeat-common into core and Spring modules and carried monitoring template fixes and internationalization work. v1.9.0-rc2 in September is titled only by its one visible change, a fix that makes the Windows native collector start. The 1.8.0 release referenced in rc1's own notes never appears in the feed.
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 HertzBeat vs Dagster: editorial side-by-side
Apache HertzBeat
0.0ANALYTICS
HertzBeat's 1.9.0 is on its second release candidate, and the feed still skips 1.8.0.
◆ Current state
HertzBeat's tracked entries are mostly release candidates. v1.9.0-rc1 in July split hertzbeat-common into core and Spring modules and carried monitoring template fixes and internationalization work. v1.9.0-rc2 in September is titled only by its one visible change, a fix that makes the Windows native collector start. The 1.8.0 release referenced in rc1's own notes never appears in the feed.
◆ Where it's heading
The 1.9.0 cycle is moving slowly, about seven weeks between candidates, and the rc2 fix points at native collector builds as current work. The release record stays thin, so most of what changes has to be read from the repository.
◆ Prediction
A 1.9.0 final or a further candidate is the next likely entry; nothing in the feed suggests timing.
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 HertzBeat 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 HertzBeat 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 HertzBeat alternatives → · See all Dagster alternatives →
Recent activity from Apache HertzBeat 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
- 2mo agoApache HertzBeatv1.9.0-rc2 fixes Windows native collector startup
- 3mo agoApache HertzBeatCommon module split into core and Spring; i18n work lands
- 1y agoApache HertzBeatDocs update and Apache graduation blog post
- 1y agoApache HertzBeatVersion bump candidate with no recorded changes
- 1y agoApache HertzBeatCandidate tag containing only a branch merge
Frequently asked questions
What is the difference between Apache HertzBeat 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 HertzBeat 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 HertzBeat?
Top Apache HertzBeat alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache HertzBeat alternatives" section above for the current picks, or visit /alternatives/hertzbeat 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.