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Lightdash vs Glances

A side-by-side editorial comparison of Lightdash and Glances — release velocity, themes, recent moves, and the top alternatives to consider.

Lightdash vs Glances: at a glance

FeatureLightdashGlances
SectorAnalyticsAnalytics
Velocity score8.82.5
Sparks · 30d20
Top themesbi, data-apps, agent-native, mcpsystem monitoring, security audit, gpu monitoring, rest api
Last editorial update2d ago2h ago
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What is Lightdash?

Lightdash is turning BI into an app platform its users' coding agents can build against.

Lightdash's centre of gravity has moved from charts to Data Apps. In the last month apps gained the ability to call third-party HTTP APIs through a credential-injecting proxy, a generator that builds reusable chart types from a prompt, query-inspection tooling, and now a local workflow: scaffold an app with the CLI, iterate on it in your own IDE against live data, and upload the source for Lightdash to build on your instance. Around that, content as code expanded to cover dashboards, permissions, AI agents, automations and org roles, and verified content was unified with AI agents so the MCP serves one trusted source.

Read the full Lightdash trajectory →

What is Glances?

Every Glances release this year has carried CVE fixes — the monitoring tool is being audited in public.

Six releases since March, and all but one ship security patches. 4.5.2 alone corrected eight CVEs: CORS defaults allowing cross-origin credential theft, incomplete secrets redaction leaking password hashes and SNMP credentials through /api/v4/args, missing host validation leaving the REST API open to DNS rebinding, SQL injection in the DuckDB export, command injection through process names in action templates, and credential leakage via Zeroconf-spoofed browser autodiscovery. The pattern continues through 4.5.3, 4.5.4, 4.5.5 and 4.5.6, the last fixing a value-level bypass that leaked credentials embedded in URL config values. Alongside it, hardware coverage keeps widening — Intel and AMD GPUs, NVIDIA Jetson, Rockchip NPU and MPP, Raspberry Pi VideoCore.

Read the full Glances trajectory →

Lightdash vs Glances: editorial side-by-side

L
Lightdash
ANALYTICS
8.8

Lightdash is turning BI into an app platform its users' coding agents can build against.

◆ Current state

Lightdash's centre of gravity has moved from charts to Data Apps. In the last month apps gained the ability to call third-party HTTP APIs through a credential-injecting proxy, a generator that builds reusable chart types from a prompt, query-inspection tooling, and now a local workflow: scaffold an app with the CLI, iterate on it in your own IDE against live data, and upload the source for Lightdash to build on your instance. Around that, content as code expanded to cover dashboards, permissions, AI agents, automations and org roles, and verified content was unified with AI agents so the MCP serves one trusted source.

◆ Where it's heading

Two threads are converging. One makes the semantic layer legible to agents - verified content and AI-verified answers share a single source of truth that the Lightdash MCP and outside assistants read from. The other makes the platform something agents can write to, with apps scaffolded locally, built by whatever coding agent the developer prefers, then shipped into a governed instance. The governance framing is carrying real weight in both, since the pitch is that data and metrics stay controlled while authoring moves outside the product.

◆ Prediction

Expect the local app workflow and content as code to fuse, so agent-driven changes to dashboards, permissions and apps arrive as pull requests against a Lightdash instance. The pieces are shipped; what these entries do not settle is how agent-authored apps get reviewed or approved before viewers see them.

G
Glances
ANALYTICS
2.5

Every Glances release this year has carried CVE fixes — the monitoring tool is being audited in public.

◆ Current state

Six releases since March, and all but one ship security patches. 4.5.2 alone corrected eight CVEs: CORS defaults allowing cross-origin credential theft, incomplete secrets redaction leaking password hashes and SNMP credentials through /api/v4/args, missing host validation leaving the REST API open to DNS rebinding, SQL injection in the DuckDB export, command injection through process names in action templates, and credential leakage via Zeroconf-spoofed browser autodiscovery. The pattern continues through 4.5.3, 4.5.4, 4.5.5 and 4.5.6, the last fixing a value-level bypass that leaked credentials embedded in URL config values. Alongside it, hardware coverage keeps widening — Intel and AMD GPUs, NVIDIA Jetson, Rockchip NPU and MPP, Raspberry Pi VideoCore.

◆ Where it's heading

This is what it looks like when a tool that grew up as a local terminal dashboard gets taken seriously as a network service. Nearly every advisory in the window comes from the same root assumption — that the REST API, XML-RPC server and autodiscovery browser are on a trusted network — and the fixes are systematically removing that assumption: authentication warnings on startup, host validation, tighter CORS, redaction that covers values as well as keys. The feature work continues in parallel and is almost entirely about reading more kinds of hardware.

◆ Prediction

The advisories have moved from transport-level exposure toward data-level leaks in specific endpoints, which suggests the remaining audit surface is the export backends and config serialisation rather than the servers themselves. Expect the next release to follow the same shape: hardware plugin additions plus another round of endpoint fixes.

Alternatives to Lightdash and Glances

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 Lightdash or Glances.

See all Lightdash alternatives → · See all Glances alternatives →

Recent activity from Lightdash and Glances

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 3d agoLightdash🤖 Build data apps locally with your favorite agent
  2. 6d agoGlancesCredential leak via URL values in /api/4/config
  3. 7d agoLightdash📦 More content as code
  4. 7d agoLightdashSQL Runner: Big Number
  5. 11d agoLightdash🎯 Ask for one filter, not every filter
  6. 25d agoLightdash🌍 Timezones that just work
  7. 29d agoLightdash🔌 Data apps can now talk to APIs
  8. 1mo agoGlancesContainer API latency, ARM GPU monitoring, and an AMP command-execution fix
  9. 3mo agoGlancesRockchip MPP and NPU monitoring, plus three CVE corrections
  10. 4mo agoGlancesLXC/LXD support, ClickHouse export, and two CVE mitigations
  11. 4mo agoGlancesEight CVEs corrected in one release
  12. 5mo agoGlancesStability fixes, Intel GPU monitoring, and container health alerting

Frequently asked questions

What is the difference between Lightdash and Glances?

They serve adjacent needs but don't currently overlap on shipped themes. Lightdash is currently shipping more aggressively (velocity 8.8 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.

Is Lightdash better than Glances?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Lightdash is currently shipping more aggressively (velocity 8.8 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.

What are the best alternatives to Lightdash?

Top Lightdash alternatives in Analytics are ranked by recent ship velocity. Browse the "Lightdash alternatives" section above for the current picks, or visit /alternatives/lightdash for the full list with editorial commentary on each.

What are the best alternatives to Glances?

Top Glances alternatives in Analytics are ranked by recent ship velocity. Browse the "Glances alternatives" section above for the current picks, or visit /alternatives/glances for the full list with editorial commentary on each.