Aim
An experiment tracker grinding on storage performance — and quiet for over a year.
A side-by-side editorial comparison of Plotly and Citus — release velocity, themes, recent moves, and the top alternatives to consider.
Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.
Plotly now ships on two tracks. Plotly Studio, the desktop AI app-builder, releases every one to two weeks and has spent v0.0.80 through v0.0.85 on credential handling, reasoning transparency and per-user personalization. Plotly Cloud is the louder track: since late May it has added viewer-seat pricing, domain verification, per-app compute modes with credit-metered billing, and customer-owned domains with managed TLS.
Citus is in maintenance mode across four branches, with the feature work invisible from the feed.
Citus is the Postgres extension that shards tables across a cluster, and its release feed right now is almost entirely branch upkeep. Four lines are live at once — 12.1, 13.3, 14.0 and 14.1 — and the recent tags are backports and CI fixes moving between them, authored by a small handful of maintainers. The last release with user-facing feature text is Citus 14.0 in February, which added PostgreSQL 18.1 support and pointed at a blog post rather than listing what changed.
Plotly now ships on two tracks. Plotly Studio, the desktop AI app-builder, releases every one to two weeks and has spent v0.0.80 through v0.0.85 on credential handling, reasoning transparency and per-user personalization. Plotly Cloud is the louder track: since late May it has added viewer-seat pricing, domain verification, per-app compute modes with credit-metered billing, and customer-owned domains with managed TLS.
The Cloud releases are assembling the standard pieces of a hosting business in order — identity first (domain verification, explicitly framed as the step before SSO), then billing (viewer seats, then metered compute credits), and now production-grade serving (custom domains, automatic certificate renewal). Studio is being hardened as the authoring front end that feeds it: Universal Deployment pushed beyond Dash apps, credentials saved once and reused, and a Winget channel to widen Windows installs. The two tracks converge on one funnel — author in Studio, deploy to Cloud, pay by compute consumed.
The Domain Verification entry names SSO as the next step and places it in the Enterprise tier, so single sign-on is the most likely Cloud release next. Studio should hold its one-to-two-week cadence, with the pending Winget approval landing inside the stated one-to-two-week window.
Citus is the Postgres extension that shards tables across a cluster, and its release feed right now is almost entirely branch upkeep. Four lines are live at once — 12.1, 13.3, 14.0 and 14.1 — and the recent tags are backports and CI fixes moving between them, authored by a small handful of maintainers. The last release with user-facing feature text is Citus 14.0 in February, which added PostgreSQL 18.1 support and pointed at a blog post rather than listing what changed.
The shape here is a mature extension keeping several supported branches alive rather than pushing new capability. Correctness is the live concern: the 12.1 patches fix wrong query results, an EXPLAIN segfault, a standby coordinator crash and a deadlock, all backported from work done on newer branches. Note that the release notes are thin by design — 13.3 and 14.1 list only PR titles for backports and test plumbing, so the feed understates whatever is landing on the main line.
More 12.1 patch tags are the safe expectation while that branch stays supported. Whether the 14.x line picks up new distributed-query features is not visible from these entries — the notes only cover backports, so the main-branch work would have to be read elsewhere.
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 Plotly or Citus.
An experiment tracker grinding on storage performance — and quiet for over a year.
Every Glances release this year has carried CVE fixes — the monitoring tool is being audited in public.
Zipkin's last release was January 2025 — a dependency bump, and then nothing.
One release turns a telemetry store into synthetics, workflows, and AI observability.
Chord rebuilt Copilot, renamed it, and let it start building the audiences it used to describe
A deprecation sweep and hive-partition join rewrites, shipped on two trains at once.
See all Plotly alternatives → · See all Citus alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Plotly is currently shipping more aggressively (velocity 7.5 vs 2.5), with 2 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. Plotly is currently shipping more aggressively (velocity 7.5 vs 2.5), with 2 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 Plotly alternatives in Analytics are ranked by recent ship velocity. Browse the "Plotly alternatives" section above for the current picks, or visit /alternatives/plotly for the full list with editorial commentary on each.
Top Citus alternatives in Analytics are ranked by recent ship velocity. Browse the "Citus alternatives" section above for the current picks, or visit /alternatives/citus for the full list with editorial commentary on each.