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Comparison · Analytics
GoAccess vs Dagster
A side-by-side editorial comparison of GoAccess and Dagster — release velocity, themes, recent moves, and the top alternatives to consider.
GoAccess vs Dagster: at a glance
What is GoAccess?
GoAccess 1.12 splits AI crawlers from search bots in web log reports.
GoAccess is a mature open-source web log analyzer with a terminal UI and self-contained HTML reports. After 1.11's parsing and memory gains in July, 1.12 on September 16 adds a dedicated AI Crawlers category separating AI assistants and training bots from search crawlers, a Fediverse category, a live requests-per-second rate and an option to exclude traffic by ASN. It also refuses database restores whose grouping settings no longer match.
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.
GoAccess vs Dagster: editorial side-by-side
GoAccess
0.0ANALYTICS
GoAccess 1.12 splits AI crawlers from search bots in web log reports.
◆ Current state
GoAccess is a mature open-source web log analyzer with a terminal UI and self-contained HTML reports. After 1.11's parsing and memory gains in July, 1.12 on September 16 adds a dedicated AI Crawlers category separating AI assistants and training bots from search crawlers, a Fediverse category, a live requests-per-second rate and an option to exclude traffic by ASN. It also refuses database restores whose grouping settings no longer match.
◆ Where it's heading
GoAccess is adapting its traffic classification to how sites are now crawled, with AI bots and Fediverse servers as distinct sources. Releases continue on a roughly two-to-five-month cycle.
◆ Prediction
Expect more bot classification and filtering options in the next release; timing is unclear.
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 GoAccess 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 GoAccess 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 GoAccess alternatives → · See all Dagster alternatives →
Recent activity from GoAccess 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
- 1mo agoGoAccessGoAccess 1.12 adds AI Crawlers category and ASN exclusion
- 3mo agoGoAccessGoAccess 1.11: faster parsing, less memory, crash-safe DB migration
- 7mo agoGoAccessGoAccess 1.10.2
- 9mo agoGoAccessGoAccess 1.10.1
- 9mo agoGoAccessGoAccess 1.10: city geolocation, bar charts, compressed logs
- 1y agoGoAccess# Release 1.9.4 Monday, March 31, 2025
Frequently asked questions
What is the difference between GoAccess 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 GoAccess 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 GoAccess?
Top GoAccess alternatives in Analytics are ranked by recent ship velocity. Browse the "GoAccess alternatives" section above for the current picks, or visit /alternatives/goaccess 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.