Delta Lake
Delta Lake's public stream is release mechanics; Kernel builds now carry a 4.5.0 label.
Comparison · Analytics
Count vs Glances
A side-by-side editorial comparison of Count and Glances — release velocity, themes, recent moves, and the top alternatives to consider.
Count vs Glances: at a glance
What is Count?
Count's agent now shows the chain of cells and assumptions behind every answer it gives.
Count is a data-canvas analytics tool organized around an AI agent. Its late-October release added Reasoning Chains, which link each claim and chart in an agent answer back to the cells, sources and assumptions behind it. Over the summer it rebuilt the agent with web data and auto layout, moved Python to a server sandbox with any PyPI package, and added longer agent conversations, a faster empty-canvas start and catalog views that stay populated while they refresh.
What is Glances?
After a year of CVE fixes, Glances 4.5.7 turns to making its alerts tell the truth.
Most Glances releases this year carried security patches: 4.5.2 alone corrected eight CVEs, and 4.5.3 to 4.5.6 kept going, ending with a credential leak through URL config values. 4.5.7 in September broke the pattern with a long list of correctness fixes, many of them alerts that fired on the wrong value or never fired, plus WebUI colouring bugs and a fix for --enable-mcp under mcp 2.0. 4.5.8 in October fixed export edge cases.
Count vs Glances: editorial side-by-side
Count
6.3ANALYTICS
Count's agent now shows the chain of cells and assumptions behind every answer it gives.
◆ Current state
Count is a data-canvas analytics tool organized around an AI agent. Its late-October release added Reasoning Chains, which link each claim and chart in an agent answer back to the cells, sources and assumptions behind it. Over the summer it rebuilt the agent with web data and auto layout, moved Python to a server sandbox with any PyPI package, and added longer agent conversations, a faster empty-canvas start and catalog views that stay populated while they refresh.
◆ Where it's heading
Count is making the agent the main way to work in the canvas, then adding the checks that let people trust its output. Reasoning Chains and server-side Python with managed secrets point at analysis that can be audited and run on real data. Steady fix lists for agent edits show the agent is still being hardened.
◆ Prediction
Expect more ways to inspect and correct agent work, building on Reasoning Chains. The entries don't show whether chains will extend to Slack answers.
Glances
5.0ANALYTICS
After a year of CVE fixes, Glances 4.5.7 turns to making its alerts tell the truth.
◆ Current state
Most Glances releases this year carried security patches: 4.5.2 alone corrected eight CVEs, and 4.5.3 to 4.5.6 kept going, ending with a credential leak through URL config values. 4.5.7 in September broke the pattern with a long list of correctness fixes, many of them alerts that fired on the wrong value or never fired, plus WebUI colouring bugs and a fix for --enable-mcp under mcp 2.0. 4.5.8 in October fixed export edge cases.
◆ Where it's heading
Hardware coverage keeps widening alongside the fixes (Intel, AMD and ARM GPUs, Rockchip NPUs, LXC containers), and a v4 cutover tag in October suggests repository restructuring ahead. The security run appears to have eased since August.
◆ Prediction
Unclear what the v4 cutover changes for users; until it is explained, expect more 4.5.x maintenance releases.
Alternatives to Count 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 Count or Glances.
Grafana Loki
Loki 4.0 RC strips out legacy storage backends and the simple scalable mode.
OpenObserve
OpenObserve 1.2.0-rc1 opens a metrics v2 cycle with chart alerts and forecasts.
Keboola
Keboola connects GitHub organizations once, ending personal tokens for private repos.
dbt Core
dbt-core 1.13 drops Python 3.10 and learns to tolerate v2-only project config.
Chord
Chord adds Amazon Conversions API to its CDP destinations as the catalog keeps widening.
See all Count alternatives → · See all Glances alternatives →
Recent activity from Count and Glances
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6d agoCountReasoning Chains ⚡
- 20d agoCountLonger agent conversations
- 24d agoGlancesGlances 4.5.8
- 25d agoGlancesPre-cutover tag before the v4 migration
- 1mo agoGlancesGlances 4.5.7 fixes dozens of wrong or silent alerts
- 1mo agoCountNo gaps while catalog views refresh
- 2mo agoCountSSO sign-in banner and clearer SQL Server errors
- 2mo agoCountA faster start from an empty canvas
- 3mo agoCountNew sign-in and sign-up
- 3mo agoGlancesCredential leak via URL values in /api/4/config
- 4mo agoGlancesContainer API latency, ARM GPU monitoring, AMP command-execution fix
- 6mo agoGlancesRockchip MPP and NPU monitoring, plus three CVE corrections
Frequently asked questions
What is the difference between Count and Glances?
They serve adjacent needs but don't currently overlap on shipped themes. Count 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.
Is Count better than Glances?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Count 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.
What are the best alternatives to Count?
Top Count alternatives in Analytics are ranked by recent ship velocity. Browse the "Count alternatives" section above for the current picks, or visit /alternatives/count 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.