Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Head-to-head · eBPF Observability Tools

DeepFlow vs KubeSense

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score DeepFlow #2 in eBPF Observability Tools 9.1/10 Open source ✓ 4 of 4 features Visit DeepFlow
KubeSense #5 in eBPF Observability Tools 8.8/10 Paid ✓ 3 of 4 features Visit KubeSense

DeepFlow leads on 1 check, KubeSense on 0, and 4 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreDeepFlow · 9.1/10
  • Most featuresDeepFlow · 4 of 4

DeepFlow scores higher on our rubric for ebpf observability tools: 9.1 against 8.8 out of 10; our editors rank them #2 and #5.

On deployment model, DeepFlow gives you Hybrid where KubeSense offers Self-hosted. DeepFlow offers kernel profiling; KubeSense doesn't.

DeepFlow is the better fit for open-source full-stack observability. KubeSense is the better fit for broad paid infrastructure observability.

  • DeepFlow fits best

    Open-source full-stack observability

  • KubeSense fits best

    Broad paid infrastructure observability

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature DeepFlow 9.1/10 Visit ↗ KubeSense 8.8/10 Visit ↗
At a glance
Editor score 9.1 8.8
Ranking #2 in eBPF Observability Tools #5 in eBPF Observability Tools
Best for Open-source full-stack observability Broad paid infrastructure observability
Pricing model Free Paid
Starting price Open source $20/device/mo
Free plan Not checked yet —
Free trial — —
Deployment Cloud, Self-hosted Self-hosted, Cloud
Platforms Web, Windows, Linux, Android Web, Linux
Support Email, Phone, Docs Email, Live chat · 24/7
Integrations 6 integrations 11 integrations
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features DeepFlow 4/4 · KubeSense 3/4
Kubernetes support ✓ ✓
Network visibility ✓ ✓
Application tracing ✓ ✓
Kernel profiling ✓ (best) —
Specs
Deployment model Hybrid Self-hosted
Supported operating systems Linux, Windows, Android Linux; CentOS 7.3+; Debian 10+; Red Hat Enterprise Linux 8+; Ubuntu 16.04+
Our review
Pros
  • Zero-instrumentation tracing with universal service maps
  • Continuous on-CPU and off-CPU profiling
  • Integrations with Prometheus, OpenTelemetry, and Grafana
  • Zero-code eBPF telemetry for infrastructure and network visibility
  • Covers Kubernetes, applications, logs, traces, databases, and RUM
  • Self-hosted deployment keeps observability data in your environment
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
  • No separately named $0 plan for production use
  • Monthly pricing starts at $20 per node or host
  • eBPF-based profiling is listed as coming soon
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 →

KubeSense is a self-hosted observability platform for engineering and SRE teams managing Kubernetes, Docker, virtual machines, serverless workloads, ECS, Lambda, OpenShift, and on-premises environments. Its eBPF-based collection provides…

Read the review →
  1. DeepFloweBPF Observability Tools 9.1Open source
  2. KubeSenseeBPF Observability Tools 8.8Paid

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
  • KubeSense — where it wins

    • Zero-code eBPF telemetry for infrastructure and network visibility
    • Covers Kubernetes, applications, logs, traces, databases, and RUM
    • Self-hosted deployment keeps observability data in your environment

    Where it doesn't

    • No separately named $0 plan for production use
    • Monthly pricing starts at $20 per node or host
    • eBPF-based profiling is listed as coming soon

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update