Graphite
Graphite's answer to its own CVE backlog is a pre-release nobody calls official.
A side-by-side editorial comparison of NetObserv and Dagster — release velocity, themes, recent moves, and the top alternatives to consider.
NetObserv is layering TLS visibility and health alerting on top of its eBPF flow pipeline.
NetObserv ships roughly monthly as a coordinated bundle — operator, eBPF agent, flowlogs-pipeline and console plugin move together in each release. The functional work over these six releases splits three ways: a TLS visibility feature that arrived as a knob in 1.11.3 and has been extended with metrics and alerts since, a Network Health layer built on Prometheus recording rules rather than alerts alone, and steady hardening of the agent-to-pipeline path (mTLS, hot-reload filters, packet translation and sampling fixes). Prometheus is now on by default.
Dagster's declarative automation grows past assets while the UI is rebuilt for scale.
Dagster ships weekly 1.13.x point releases, each pairing a short list of new capability with a longer list of fixes. The through-line is Declarative Automation, the asset-condition system that separates Dagster from schedule-driven orchestrators, which has now reached jobs. Running alongside it is a sustained effort to keep the UI responsive in workspaces whose asset graphs outgrew the original interface.
NetObserv ships roughly monthly as a coordinated bundle — operator, eBPF agent, flowlogs-pipeline and console plugin move together in each release. The functional work over these six releases splits three ways: a TLS visibility feature that arrived as a knob in 1.11.3 and has been extended with metrics and alerts since, a Network Health layer built on Prometheus recording rules rather than alerts alone, and steady hardening of the agent-to-pipeline path (mTLS, hot-reload filters, packet translation and sampling fixes). Prometheus is now on by default.
The project is moving from flow collection toward opinionated health signalling — recording rules, runbook links in alerts, ingress 5xx and latency templates, health metadata driving console plugin config. That is the shape of a tool trying to answer 'is the network healthy' rather than only 'what traffic occurred'. In parallel, supply-chain and workflow security is getting real attention: SBOM generation and artifact signing, SHA-pinned GitHub Actions, pwn-request workflow checks and a pprof exposure fix all landed in the last two releases. The operator was also renamed from network-observability-operator to netobserv-operator.
Expect the TLS thread to keep extending — the sequence so far is fields, then metrics, then alerts, so dashboards and health rules built on TLS data are the natural next step. Continued investment in the Network Health rule set is the other safe bet, since it is where the last three releases have concentrated their non-dependency commits.
Dagster ships weekly 1.13.x point releases, each pairing a short list of new capability with a longer list of fixes. The through-line is Declarative Automation, the asset-condition system that separates Dagster from schedule-driven orchestrators, which has now reached jobs. Running alongside it is a sustained effort to keep the UI responsive in workspaces whose asset graphs outgrew the original interface.
Automation is escaping the asset boundary. Conditions can now launch jobs, which brings the declarative model to the parts of a deployment that never fit the asset abstraction and where users fell back to schedules. Several consecutive releases also spend their effort on virtualized lists, bounded previews and scoped search — the signature of a product whose largest customers hit the UI's limits first. Preview flags on both the job automation and the Snowflake component indicate neither is finished.
Expect Declarative Automation for jobs to move from preview to general availability within the 1.13.x line, and more first-party Components covering the remaining warehouse and dbt paths.
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 NetObserv or Dagster.
Graphite's answer to its own CVE backlog is a pre-release nobody calls official.
Cortex is betting on Parquet block storage and graduating years of experimental features.
Storm 3.0 finishes removing the Clojure it was built in, and moves to a Java 21 baseline.
Five release candidates in two years, none of them stable, and none since October 2025.
A monitoring project whose public release feed skips the release that mattered.
Axiom is rebuilding observability so an AI agent, not a human, can be the first user.
See all NetObserv alternatives → · See all Dagster alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Dagster is currently shipping more aggressively (velocity 6.3 vs 2.5), with 1 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. Dagster is currently shipping more aggressively (velocity 6.3 vs 2.5), with 1 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 NetObserv alternatives in Analytics are ranked by recent ship velocity. Browse the "NetObserv alternatives" section above for the current picks, or visit /alternatives/netobserv for the full list with editorial commentary on each.
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.