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Comparison · Analytics
Pinpoint vs Dagster
A side-by-side editorial comparison of Pinpoint and Dagster — release velocity, themes, recent moves, and the top alternatives to consider.
Pinpoint vs Dagster: at a glance
What is Pinpoint?
Pinpoint 4.0 takes OpenTelemetry traces without its agent; 3.1.1 tames reactive overhead.
Pinpoint, the open-source APM, opened its 4.0 line on 29 October: services on by default, OpenTelemetry traces ingested without the Pinpoint agent, and service-based alarms. A month earlier, 3.1.1 cut agent overhead on Reactor, WebFlux and Kotlin coroutine workloads, added Spring Framework 7 compatibility and hardened the Web and Batch modules, with no schema changes.
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.
Pinpoint vs Dagster: editorial side-by-side
Pinpoint
3.8ANALYTICS
Pinpoint 4.0 takes OpenTelemetry traces without its agent; 3.1.1 tames reactive overhead.
◆ Current state
Pinpoint, the open-source APM, opened its 4.0 line on 29 October: services on by default, OpenTelemetry traces ingested without the Pinpoint agent, and service-based alarms. A month earlier, 3.1.1 cut agent overhead on Reactor, WebFlux and Kotlin coroutine workloads, added Spring Framework 7 compatibility and hardened the Web and Batch modules, with no schema changes.
◆ Where it's heading
Pinpoint is loosening the tie between its backend and its own Java agent, which widens who can send it data. The 3.x line keeps the agent fast on modern reactive stacks while 4.0 takes the platform changes, the same split between rare structural jumps and steady patch work seen across 3.0 and 3.1.
◆ Prediction
Expect 4.0.x patches settling OpenTelemetry ingest and the services model, with 3.1.x receiving backports in parallel as 3.0.x did after 3.1.0.
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 Pinpoint 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 Pinpoint 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 Pinpoint alternatives → · See all Dagster alternatives →
Recent activity from Pinpoint 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
- 16d agoPinpoint4.0.0 release ⚡
- 18d agoDagster1.13.27: mobile run details, bounded BigQuery Insights scans
- 1mo agoDagster1.13.26: dagster-dbt stops installing dbt-core
- 1mo agoPinpointPinpoint 3.1.1 cuts agent overhead on reactive Java apps
- 1mo agoDagster1.13.25: phone layout for the Dagster UI, ECS run resumes
- 5mo agoPinpoint3.1.0 rebuilds ServerMap and lifts application names to 254 characters ⚡
- 7mo agoPinpoint3.0.5: backports and a move to Central Portal publishing
- 11mo agoPinpoint3.0.4 adds Java 26, Kafka Streams and nested Spring Boot JAR support
- 1y agoPinpoint3.0.3 adds an S3 client plugin and Kafka 4.x compatibility
Frequently asked questions
What is the difference between Pinpoint and Dagster?
They serve adjacent needs but don't currently overlap on shipped themes. Dagster is currently shipping more aggressively (velocity 5.0 vs 3.8), with 0 editorial sparks in the last 30 days against 1. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Pinpoint 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 3.8), with 0 editorial sparks in the last 30 days against 1. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to Pinpoint?
Top Pinpoint alternatives in Analytics are ranked by recent ship velocity. Browse the "Pinpoint alternatives" section above for the current picks, or visit /alternatives/pinpoint 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.