Head-to-head · eBPF Observability Tools
DeepFlow vs 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
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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 | ||
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| 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 → |
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
- DeepFlow9.1/10 · Open source
A broad open-source platform for application, network, and system observability.
Visit DeepFlowFull verdict → - KubeSense8.8/10 · Paid
Broad self-hosted observability for teams willing to pay per node or host.
Visit KubeSenseFull verdict →
More comparisons
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- DeepFlow vs Gyeeta
- DeepFlow vs Grafana Beyla
- groundcover vs KubeSense
All eBPF observability tools comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







