ManageEngine RecoveryManager Plus
RecoveryManager Plus keeps widening its backup coverage across the Microsoft identity estate.
A side-by-side editorial comparison of OpenMetadata and Plotly — release velocity, themes, recent moves, and the top alternatives to consider.
A second 2.0 release candidate lands while 1.13 keeps absorbing governance and CVE fixes.
OpenMetadata is running two lines at once. The 2.0.0 major is on its second release candidate, both explicitly marked dev and test only with no stated changes. The 1.13 line continues as the shipping product: 1.13.3 fixed Snowflake foreign-key collisions across tables sharing a constraint name, unstuck data contracts left at Running, and repaired poisoned governance trigger filters, while 1.12.14 and 1.13.2 were dominated by dependency CVE patching across MLflow, PyArrow, log4j and the ingestion images.
Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.
Plotly ships on two tracks. Plotly Studio, the desktop AI app-builder, releases every one to two weeks and has spent v0.0.80 through v0.0.86 on credential handling, reasoning transparency, personalization and now the reliability of the agent session engine itself. 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.
OpenMetadata is running two lines at once. The 2.0.0 major is on its second release candidate, both explicitly marked dev and test only with no stated changes. The 1.13 line continues as the shipping product: 1.13.3 fixed Snowflake foreign-key collisions across tables sharing a constraint name, unstuck data contracts left at Running, and repaired poisoned governance trigger filters, while 1.12.14 and 1.13.2 were dominated by dependency CVE patching across MLflow, PyArrow, log4j and the ingestion images.
The direction was set by 1.13.0, which made MCP a first-class service category and added an RDF knowledge graph; everything since has been consolidation around those two surfaces plus a heavy security-patch cadence. With 2.0 now on its second RC and carrying no published notes, the interesting question — what actually changes in the major — remains unanswered by the entries themselves.
Expect further 2.0 release candidates before a final, and continued 1.13.x maintenance releases weighted toward governance-workflow fixes and dependency patching until the major stabilizes.
Plotly ships on two tracks. Plotly Studio, the desktop AI app-builder, releases every one to two weeks and has spent v0.0.80 through v0.0.86 on credential handling, reasoning transparency, personalization and now the reliability of the agent session engine itself. 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, a Winget channel to widen Windows installs, and in v0.0.86 a rebuilt session engine plus automatic retries so agent runs survive expired tokens. 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 newly added app thumbnails pointing toward more work on browsing and organizing generated apps.
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 OpenMetadata or Plotly.
RecoveryManager Plus keeps widening its backup coverage across the Microsoft identity estate.
Omni ships weekly, and almost every week the headline item is an AI feature.
silx settles into maintenance a release after its PySide6 migration
aniread stops asking you to know which tracker wrote the file
Rho's release machinery finally produced a stable build — and it shipped no new product.
Usermaven closed the loop: data comes in from anywhere, and now it goes back out.
See all OpenMetadata alternatives → · See all Plotly 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 6.3 vs 5.0), 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. Plotly is currently shipping more aggressively (velocity 6.3 vs 5.0), 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 OpenMetadata alternatives in Analytics are ranked by recent ship velocity. Browse the "OpenMetadata alternatives" section above for the current picks, or visit /alternatives/openmetadata for the full list with editorial commentary on each.
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.