Glances vs Honeycomb
Side-by-side comparison of features, pricing, ratings, and alternatives.
Glances is an open‑source, cross‑platform monitoring tool that provides a concise, real‑time view of system resources such as CPU, memory, disk I/O, network, and processes. It runs on Linux, Windows, macOS and can be accessed via a web interface, making it ideal for both local and remote monitoring. Designed for system administrators and DevOps teams, Glances aggregates metrics into a single dashboard, supports customizable alerts, and integrates with scripts or APIs for automated workflows. Its lightweight design ensures minimal overhead while delivering comprehensive performance insights.
Honeycomb is an observability platform built around wide structured events and high-cardinality querying, letting engineering teams trace and debug complex production issues in modern distributed systems. It provides a comprehensive view of system performance and behavior, enabling teams to quickly identify and resolve issues.
- Fully open‑source and free
- Runs on all major operating systems
- Lightweight with low resource overhead
- Extensible via plugins and API
- Comprehensive system monitoring and performance optimization
- High-cardinality querying for quick issue resolution
- Real-time analytics for immediate insights
- Customizable dashboards for tailored system monitoring
- No native mobile app
- Limited built‑in visualization compared to commercial tools
- Alerting requires manual configuration or external scripts
- Steep learning curve for new users
- Limited support for legacy systems
- Requires significant resources for large-scale deployments
More alternatives & similar tools
Alternatives to Glances
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View all →The Verdict
AI-generated from listing dataGlances is a free, open‑source, lightweight monitor that runs everywhere, while Honeycomb is a paid SaaS observability platform with richer analytics and enterprise support.
Key differences
- •Cost: Glances is free; Honeycomb requires a subscription.
- •Deployment model: Glances runs locally on any OS; Honeycomb is cloud/SaaS only.
- •Analytics depth: Honeycomb offers high‑cardinality querying and real‑time analytics; Glances provides basic metric display.
- •Support: Honeycomb includes 24/7 phone support and live chat; Glances offers only email and GitHub issues.
- •Extensibility: Glances relies on plugins and a REST API; Honeycomb provides a built‑in API but no plugin system.
Pricing & value
Glances is free and open‑source, giving full functionality at zero cost; Honeycomb is a paid subscription.
Ease of use / learning curve
Glances runs out‑of‑the‑box via CLI/web UI; Honeycomb has a steep learning curve for its advanced queries.
Features & depth
Honeycomb provides high‑cardinality querying, real‑time analytics, and distributed tracing, which Glances lacks.
Integrations & ecosystem
Both integrate with Docker; Glances adds many back‑ends (InfluxDB, Prometheus, etc.), Honeycomb focuses on cloud/Kubernetes platforms.
Collaboration
Honeycomb offers customizable dashboards and SaaS sharing; Glances is primarily a single‑user/local tool.
Scalability
Honeycomb is designed for large, distributed systems; Glances is lightweight but limited to local or small‑scale monitoring.
Support
Honeycomb provides email, live chat, and 24/7 phone support; Glances only offers email and GitHub issues.
Choose Glances if…
Teams needing free, cross‑platform, low‑overhead monitoring with basic alerts.
Choose Honeycomb if…
Organizations that require deep observability, real‑time analytics, and enterprise support for distributed systems.
Common questions
What is the total cost to start using each tool?
Glances is free and open‑source; Honeycomb requires a paid subscription, pricing not specified in the facts.
Can I run the tool on my own servers?
Glances can be installed on Windows, macOS, and Linux; Honeycomb is only offered as a cloud/SaaS service.
Which tool supports advanced querying of high‑cardinality data?
Honeycomb supports high‑cardinality querying and real‑time analytics; Glances provides only basic metric displays.
