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Comparison · Analytics
Highlight vs Dagster
A side-by-side editorial comparison of Highlight and Dagster — release velocity, themes, recent moves, and the top alternatives to consider.
Highlight vs Dagster: at a glance
What is Highlight?
Highlight grew from session replay into SQL-driven observability, then went quiet in August 2025.
Highlight is an open-source observability stack covering session replay, errors, logs, traces and metrics. Its last tagged self-hosted release, docker-v0.5.6, shipped in August 2025 with session-replay performance fixes and session restarts. Nothing has been tagged since.
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.
Highlight vs Dagster: editorial side-by-side
Highlight
0.0ANALYTICS
Highlight grew from session replay into SQL-driven observability, then went quiet in August 2025.
◆ Current state
Highlight is an open-source observability stack covering session replay, errors, logs, traces and metrics. Its last tagged self-hosted release, docker-v0.5.6, shipped in August 2025 with session-replay performance fixes and session restarts. Nothing has been tagged since.
◆ Where it's heading
Through 2025 the releases added OpenTelemetry metrics ingest, a SQL editor and builder for graphs, SQL alerts and dashboards created from log and trace views. That pushed Highlight from a replay tool toward a general telemetry platform. The cadence then slowed from roughly monthly to a two-month gap before stopping.
◆ Prediction
The entries show no release in more than a year, so the self-hosted line's future is unclear. Any new tag would most likely be maintenance on session replay and OTel ingestion.
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 Highlight 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 Highlight 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 Highlight alternatives → · See all Dagster alternatives →
Recent activity from Highlight 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 agoHighlightdocker-v0.5.6: session replay performance and session restarts
- 1y agoHighlightdocker-v0.5.5: SQL alerts, log downloads, video in replays
- 1y agoHighlightdocker-v0.5.4: SQL joins and graphed error metrics
- 1y agoHighlightdocker-v0.5.3: dashboards and alerts from logs and traces
- 1y agoHighlightdocker-v0.5.2: OTel metrics in the web SDK
- 1y agoHighlightdocker-v0.5.1: SQL editor for graphs and OTel metrics export ⚡
Frequently asked questions
What is the difference between Highlight 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 Highlight 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 Highlight?
Top Highlight alternatives in Analytics are ranked by recent ship velocity. Browse the "Highlight alternatives" section above for the current picks, or visit /alternatives/highlight 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.