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Comparison · DevOps
distributed vs Prometheus
A side-by-side editorial comparison of distributed and Prometheus — release velocity, themes, recent moves, and the top alternatives to consider.
distributed vs Prometheus: at a glance
What is distributed?
Dask's scheduler spent the year deleting deprecated API, not adding surface.
distributed is cutting frequent tags with little in them. The substantive release in the window is 2026.6.0, which removed deprecations across the scheduler, worker, nanny, CLI, security and deploy modules in roughly twenty separate cleanups and moved CI to pixi. 2026.7.0 follows with a breaking scatter change and a scheduler_info() default change; the two most recent tags are a backport and an empty release with no changes at all.
What is Prometheus?
Two branches running in parallel: 3.13 LTS on security patches, 3.14 promoting experiments to stable.
Prometheus is maintaining a 3.13 LTS line and a 3.5 line with security-only releases while 3.14 develops. The LTS patches have been narrow and serious — a head-chunk cache returning samples from the wrong chunk after truncation, a SIGBUS crash when the active query tracker's disk fills, plus CVE-driven dependency bumps in golang.org/x/text and gRPC. The 3.14.0 release candidate is where the feature work sits: duration expressions on by default, first_over_time promoted out of the experimental flag, and Oracle Cloud Infrastructure service discovery added.
distributed vs Prometheus: editorial side-by-side
distributed
5.0DEVOPS
Dask's scheduler spent the year deleting deprecated API, not adding surface.
◆ Current state
distributed is cutting frequent tags with little in them. The substantive release in the window is 2026.6.0, which removed deprecations across the scheduler, worker, nanny, CLI, security and deploy modules in roughly twenty separate cleanups and moved CI to pixi. 2026.7.0 follows with a breaking scatter change and a scheduler_info() default change; the two most recent tags are a backport and an empty release with no changes at all.
◆ Where it's heading
The direction is consolidation. A single maintainer is systematically retiring API that had been deprecated for years, tightening type annotations and chasing flaky tests, while the feature surface stays flat. Python 3.14 support and a PyArrow floor in 2026.1.2 fit the same pattern of keeping the runtime current rather than extending it.
◆ Prediction
With the deprecation sweep largely done and pixi now driving CI, the next releases most likely continue as small breaking cleanups on top of a stable feature set rather than introducing new scheduler capability.
Prometheus
5.0DEVOPS
Two branches running in parallel: 3.13 LTS on security patches, 3.14 promoting experiments to stable.
◆ Current state
Prometheus is maintaining a 3.13 LTS line and a 3.5 line with security-only releases while 3.14 develops. The LTS patches have been narrow and serious — a head-chunk cache returning samples from the wrong chunk after truncation, a SIGBUS crash when the active query tracker's disk fills, plus CVE-driven dependency bumps in golang.org/x/text and gRPC. The 3.14.0 release candidate is where the feature work sits: duration expressions on by default, first_over_time promoted out of the experimental flag, and Oracle Cloud Infrastructure service discovery added.
◆ Where it's heading
PromQL is the centre of gravity. Features enter behind promql-experimental-functions or a dedicated flag, get renamed once while experimental (min/max to min_of/max_of), then graduate — first_over_time and duration expressions are the current graduates, start_timestamp the next candidate behind use-start-timestamps. The API is simultaneously being tightened, with the stats parameter deprecated ahead of rejection in the next major and credential forwarding across redirects already removed in 3.13. Service discovery keeps absorbing clouds as their APIs change, OCI added and a Hetzner label dropped in the same release.
◆ Prediction
A 3.14.0 final should follow the release candidate within weeks, carrying the duration-expression and first_over_time promotions with it.
Alternatives to distributed and Prometheus
Other DevOps 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 distributed or Prometheus.
rlang
rlang moved tidyeval off R's private internals and onto official C API.
pyjanitor
pyjanitor is folding its verbs into pandas groupby objects, one release at a time.
purrr
purrr finished a decade of deprecations and picked up a parallel backend.
PyTables
PyTables opened a path around HDF5's filter pipeline, then chased Python's runtime.
plumber
R's API framework grew its serializer catalogue, then went quiet on features.
See all distributed alternatives → · See all Prometheus alternatives →
Recent activity from distributed and Prometheus
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoPrometheus3.14 release candidate: duration expressions on by default, first_over_time stable
- 13d agoPrometheus3.13.2: CVE dependency bumps and a SIGBUS fix on full disks
- 29d agodistributedBackport tag extending an earlier fix
- 29d agodistributedEmpty release: no changes
- 1mo agoPrometheus3.13.1 LTS: head-chunk cache returned samples from the wrong chunk
- 1mo agoPrometheus3.5.5: sanitize-html bump for CVE-2026-53606
- 1mo agoPrometheus3.13.0-rc.0: release candidate for the 3.13 LTS
- 1mo agodistributedBreaking: scatter stops unpacking custom containers
- 1mo agoPrometheus3.13.0 LTS: credentials no longer follow cross-host redirects ⚡
- 2mo agodistributedDeprecated APIs removed across scheduler, worker and CLI
- 4mo agodistributedCI pins, type hints and a dashboard CPU fix
- 6mo agodistributedPython 3.14 support and a PyArrow 16 floor
Frequently asked questions
What is the difference between distributed and Prometheus?
They serve adjacent needs but don't currently overlap on shipped themes. distributed and Prometheus are shipping at a similar cadence (velocity 5.0 vs 5.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is distributed better than Prometheus?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. distributed and Prometheus are shipping at a similar cadence (velocity 5.0 vs 5.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other DevOps products to evaluate alongside.
What are the best alternatives to distributed?
Top distributed alternatives in DevOps are ranked by recent ship velocity. Browse the "distributed alternatives" section above for the current picks, or visit /alternatives/dask-distributed for the full list with editorial commentary on each.
What are the best alternatives to Prometheus?
Top Prometheus alternatives in DevOps are ranked by recent ship velocity. Browse the "Prometheus alternatives" section above for the current picks, or visit /alternatives/prometheus for the full list with editorial commentary on each.