DeepFlow vs Qpoint

DeepFlow8.2Visit Qpoint6.9Visit

Higher score DeepFlow #2 in eBPF Observability Tools 8.2/10 Open source ✓ 4 of 4 features Visit DeepFlow

vs

Qpoint #7 in eBPF Observability Tools 6.9/10 Free plan Free plan✓ 3 of 4 features Visit Qpoint

• DeepFlow fits best

  Open-source full-stack observability

• Qpoint fits best

  Network visibility with OpenTelemetry output

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Side by side

Feature	DeepFlow 8.2/10 Visit ↗	Qpoint 6.9/10 Visit ↗
At a glance
Editor score	8.2	6.9
Ranking	#2 in eBPF Observability Tools	#7 in eBPF Observability Tools
Best for	Open-source full-stack observability	Network visibility with OpenTelemetry output
Pricing model	Free	Free plan + paid
Starting price	Not published	Not published
Free plan	Not published	✓ (best)
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web, Windows, Linux, Android	Web, Linux
Support	Email, Phone, Docs	Email, Live chat, Phone, Community · 24/7
Integrations	6 integrations	6 integrations
Built for	Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features DeepFlow 4/4 · Qpoint 3/4
Kubernetes support	✓	✓
Network visibility	✓	✓
Application tracing	✓	✓
Kernel profiling	✓ (best)	Not published
Specs
Deployment model	Hybrid	Hybrid
Supported operating systems	Linux, Windows, Android	Linux-based operating systems; kernel 5.10+; x86_64 and arm64
Our review
Pros	Zero-instrumentation tracing with universal service maps Continuous on-CPU and off-CPU profiling Integrations with Prometheus, OpenTelemetry, and Grafana	Captures traffic with process and container attribution Exports OpenTelemetry logs and traces plus Prometheus metrics Supports Docker, Kubernetes, Helm, and S3-compatible storage
Cons	Covers a wide scope rather than a narrowly focused workflow Cloud Edition is described as testing or beta Requires Kubernetes or infrastructure observability needs to justify its breadth	Primarily focused on network telemetry rather than full observability Linux-based deployment requires kernel 5.10 or later Team and Enterprise pricing require contacting sales
Our verdict	DeepFlow is an open-source observability platform from Yunshan Networks for cloud infrastructure and cloud-native applications. It uses eBPF and related technologies to collect application metrics, request logs, distributed traces, network… Read the review →	Qpoint provides Qtap, a Linux-based eBPF agent for capturing application network traffic and adding connection, HTTP/S, process, container, and protocol context. It is designed for infrastructure, platform, security, and observability… Read the review →

Strengths and trade-offs

• DeepFlow — where it wins

  • Zero-instrumentation tracing with universal service maps
  • Continuous on-CPU and off-CPU profiling
  • Integrations with Prometheus, OpenTelemetry, and Grafana

  Where it doesn't

  • Covers a wide scope rather than a narrowly focused workflow
  • Cloud Edition is described as testing or beta
  • Requires Kubernetes or infrastructure observability needs to justify its breadth

• Qpoint — where it wins

  • Captures traffic with process and container attribution
  • Exports OpenTelemetry logs and traces plus Prometheus metrics
  • Supports Docker, Kubernetes, Helm, and S3-compatible storage

  Where it doesn't

  • Primarily focused on network telemetry rather than full observability
  • Linux-based deployment requires kernel 5.10 or later
  • Team and Enterprise pricing require contacting sales

• DeepFlow8.2/10 · Open source

  A broad open-source platform for application, network, and system observability.

  Visit DeepFlowFull verdict →
• Qpoint6.9/10 · Free plan

  A focused network telemetry tool with OpenTelemetry output and Kubernetes support.

  Visit QpointFull verdict →