ManageEngine RecoveryManager Plus
RecoveryManager Plus keeps widening its backup coverage across the Microsoft identity estate.
A side-by-side editorial comparison of Metabase and Plotly — release velocity, themes, recent moves, and the top alternatives to consider.
Metabase open-sourced its AI stack and shipped an MCP server — analytics is going agentic.
Metabase's recent two releases have been the most directionally significant in years. Metabase 60 (March) open-sourced the company's AI tools, shipped an official Metabase MCP server, put Metabot inside Slack, added bring-your-own-model, plus a metrics explorer and split multi-series charts. Metabase 59 (February) introduced Data Studio — an analyst workbench with a semantic layer — and pushed AI SQL generation into the open-source edition. Earlier 55–58 work focused on Documents, embedded analytics, dark mode, and governance.
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.
Metabase's recent two releases have been the most directionally significant in years. Metabase 60 (March) open-sourced the company's AI tools, shipped an official Metabase MCP server, put Metabot inside Slack, added bring-your-own-model, plus a metrics explorer and split multi-series charts. Metabase 59 (February) introduced Data Studio — an analyst workbench with a semantic layer — and pushed AI SQL generation into the open-source edition. Earlier 55–58 work focused on Documents, embedded analytics, dark mode, and governance.
The arc through 55→60 traces a clear pivot: Metabase is repositioning the BI tool around an AI-native semantic layer that any agent can call. Open-sourcing AI tooling and shipping an MCP server are sequential bets that the value is moving from 'humans clicking dashboards' to 'agents and LLMs querying business data through a governed semantic layer.' Pairing that with Slack-native Metabot and BYO model targets distribution (chat) and enterprise procurement (your model, your governance) at the same time.
Expect rapid third-party MCP integrations to follow the official server release, and AI tooling currently in OSS to become the wedge for self-hosted adoption. The next likely moves are deeper Data Studio integration with the AI generation path, and pricing tiers that bundle agentic-query usage rather than seat counts.
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 Metabase 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 Metabase 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 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. Plotly 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 Metabase alternatives in Analytics are ranked by recent ship velocity. Browse the "Metabase alternatives" section above for the current picks, or visit /alternatives/metabase 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.