Dagster
Dagster is untangling itself from dbt-core so dbt Fusion can run without a fight.
A side-by-side editorial comparison of OpenObserve and Apache SkyWalking — release velocity, themes, recent moves, and the top alternatives to consider.
OpenObserve 1.2.0-rc1 opens a metrics v2 cycle with chart alerts and forecasts.
OpenObserve opened its 1.2 cycle with v1.2.0-rc1, led by metrics v2: alerts created from charts, comparisons, forecasts, formulas and Prometheus 3.x functions. The rest is fixes: PromQL result-cache alignment, a switch back to the upstream promql-parser, and alert dedup state keyed by org. The 1.1 line before it was memory-bounded caches, PromQL quantile speedups and backport patches.
SkyWalking 11.0 cuts the UI out of the backend and hands it to a separate project.
Apache SkyWalking is an open-source APM and observability platform, and its recent releases have been a sustained rebuild of its own foundations. BanyanDB, its purpose-built storage engine, replaced H2 outright and was then declared large-scale ready. The Groovy DSL runtime was ripped out for an ANTLR4 and Javassist pipeline with fail-fast compilation. GenAI observability arrived as a new telemetry domain. Version 11.0.0 now removes the bundled UI from the OAP release entirely, adds TLS with certificate hot-reload across every HTTP surface, and introduces a queryAlarms GraphQL API alongside runtime rule hot-update and a live DSL debugger.
OpenObserve opened its 1.2 cycle with v1.2.0-rc1, led by metrics v2: alerts created from charts, comparisons, forecasts, formulas and Prometheus 3.x functions. The rest is fixes: PromQL result-cache alignment, a switch back to the upstream promql-parser, and alert dedup state keyed by org. The 1.1 line before it was memory-bounded caches, PromQL quantile speedups and backport patches.
After a release cycle spent on metrics storage internals, OpenObserve is now building user-facing metrics features on top. The direction is toward a Prometheus-compatible metrics experience that competes on analysis, not just ingestion cost.
Expect further 1.2 release candidates with fixes before a stable 1.2.0, following the three-RC pattern of 1.1.
Apache SkyWalking is an open-source APM and observability platform, and its recent releases have been a sustained rebuild of its own foundations. BanyanDB, its purpose-built storage engine, replaced H2 outright and was then declared large-scale ready. The Groovy DSL runtime was ripped out for an ANTLR4 and Javassist pipeline with fail-fast compilation. GenAI observability arrived as a new telemetry domain. Version 11.0.0 now removes the bundled UI from the OAP release entirely, adds TLS with certificate hot-reload across every HTTP surface, and introduces a queryAlarms GraphQL API alongside runtime rule hot-update and a live DSL debugger.
The consistent method is subtraction: remove the convenient default, absorb the dependency into something the project controls, then optimise it. H2 went so BanyanDB could be the only answer. Groovy went so the DSL could be compiled and type-checked. Now the UI goes so the backend can release on its own cadence. Each removal costs operators a migration and buys the project a surface it fully owns. The security and operations work in 11.0.0 — TLS everywhere, cert rotation without restart, alarm querying by entity and layer — reads as the same platform being made deployable in environments that audit these things.
With the UI decoupled and released independently, the version coupling operators previously relied on is gone; expect the project to publish compatibility guidance or a supported-version matrix between OAP and Horizon UI, since the release notes acknowledge there is no 1:1 mapping.
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 OpenObserve or Apache SkyWalking.
Dagster is untangling itself from dbt-core so dbt Fusion can run without a fight.
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dbt-core 1.13 drops Python 3.10 and learns to tolerate v2-only project config.
See all OpenObserve alternatives → · See all Apache SkyWalking alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — observability, alerting — within Analytics. OpenObserve is currently shipping more aggressively (velocity 5.0 vs 3.8), 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. OpenObserve is currently shipping more aggressively (velocity 5.0 vs 3.8), 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.
Top OpenObserve alternatives in Analytics are ranked by recent ship velocity. Browse the "OpenObserve alternatives" section above for the current picks, or visit /alternatives/openobserve for the full list with editorial commentary on each.
Top Apache SkyWalking alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache SkyWalking alternatives" section above for the current picks, or visit /alternatives/skywalking for the full list with editorial commentary on each.