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Glances vs TimescaleDB

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

Glances vs TimescaleDB: at a glance

FeatureGlancesTimescaleDB
SectorAnalyticsAnalytics
Velocity score2.56.3
Sparks · 30d01
Top themessystem monitoring, security audit, gpu monitoring, rest apitime-series, postgresql, query-performance, columnstore
Last editorial update1mo ago3d ago
WebsiteVisit →Visit →

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 →

What is TimescaleDB?

TimescaleDB 2.30.0 ships DeferredChunkAppend, cutting last-point query cost from O(n chunks) to O(1)

TimescaleDB is running a brisk 2-3 week release cadence, alternating feature drops with bug-fix patches. The 2.29–2.30 cycle focused on execution-layer performance: reducing lock contention on DML operations, improving columnstore skip-scan behavior, and now eliminating the planning overhead that made last-point queries degrade as chunk counts grew. The project also dropped PostgreSQL 15 in 2.29.0 and is actively closing CVEs in patch releases.

Read the full TimescaleDB trajectory →

Glances vs TimescaleDB: editorial side-by-side

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.

T
TimescaleDB
ANALYTICS
6.3

TimescaleDB 2.30.0 ships DeferredChunkAppend, cutting last-point query cost from O(n chunks) to O(1)

◆ Current state

TimescaleDB is running a brisk 2-3 week release cadence, alternating feature drops with bug-fix patches. The 2.29–2.30 cycle focused on execution-layer performance: reducing lock contention on DML operations, improving columnstore skip-scan behavior, and now eliminating the planning overhead that made last-point queries degrade as chunk counts grew. The project also dropped PostgreSQL 15 in 2.29.0 and is actively closing CVEs in patch releases.

◆ Where it's heading

The consistent theme across recent releases is narrowing the performance gap between TimescaleDB and raw Postgres on specific query shapes. DeferredChunkAppend (2.30.0) is the highest-signal example: a custom executor node that changes the fundamental complexity of a core time-series access pattern from linear to constant. The project is investing in closing the 'many chunks = slower queries' tradeoff that has historically pushed users toward aggressive retention policies or manual chunk housekeeping.

◆ Prediction

2.30.1 already patched four DeferredChunkAppend edge cases; at least one more fix cycle is likely before the feature stabilizes. The deferred execution approach will probably be extended to additional query shapes beyond LIMIT-based last-point lookups in the next minor feature release.

Alternatives to Glances and TimescaleDB

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 Glances or TimescaleDB.

See all Glances alternatives → · See all TimescaleDB alternatives →

Recent activity from Glances and TimescaleDB

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

  1. 4d agoTimescaleDBTimescaleDB 2.30.1: DeferredChunkAppend bug fixes
  2. 13d agoTimescaleDBTimescaleDB 2.30.0: last-point queries now run in constant time
  3. 1mo agoTimescaleDB2.29.2 (2026-08-18)
  4. 1mo agoTimescaleDB2.29.1 (2026-08-04)
  5. 1mo agoGlancesCredential leak via URL values in /api/4/config
  6. 1mo agoTimescaleDB2.29.0 (2026-07-28)
  7. 2mo agoTimescaleDB2.28.3 (2026-07-16)
  8. 3mo agoGlancesContainer API latency, ARM GPU monitoring, and an AMP command-execution fix
  9. 5mo agoGlancesRockchip MPP and NPU monitoring, plus three CVE corrections
  10. 5mo agoGlancesLXC/LXD support, ClickHouse export, and two CVE mitigations
  11. 6mo agoGlancesEight CVEs corrected in one release
  12. 6mo agoGlancesStability fixes, Intel GPU monitoring, and container health alerting

Frequently asked questions

What is the difference between Glances and TimescaleDB?

They serve adjacent needs but don't currently overlap on shipped themes. TimescaleDB 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.

Is Glances better than TimescaleDB?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. TimescaleDB 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.

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.

What are the best alternatives to TimescaleDB?

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