DeepFlow vs Inspektor Gadget
DeepFlow
deepflow.ioInspektor Gadget
inspektor-gadget.ioSide by side
| Figure | DeepFlow | Inspektor Gadget |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 1 |
| Spec score · eBPF Observability Tools | 8.1 (#8) | 7.9 (#13) |
| Deployment | The documentation provides Kubernetes and Docker Compose deployment methods for an all-in-one installation. | On Kubernetes, Inspektor Gadget is deployed as a DaemonSet, with one pod per cluster node. |
| Purpose | DeepFlow is an observability product for complex cloud infrastructure and cloud-native applications. | Inspektor Gadget is a set of tools and a framework for eBPF-based data collection and system inspection on Kubernetes clusters and Linux hosts. |
Plans
DeepFlow
- Community EditionFree
- Cloud EditionPriced on request
- Enterprise EditionPriced on request
In their own words
DeepFlow
DeepFlow is an observability product for cloud infrastructure and cloud-native applications. It uses eBPF to collect application performance metrics, distributed traces, and continuous profiling data without intrusion. Its core capabilities include a universal service map, distributed tracing, and profiling. Built-in parsing covers HTTP, HTTPS, Dubbo, gRPC, MySQL, PostgreSQL, Redis, MongoDB, Kafka, MQTT, and DNS. DeepFlow can serve as storage for Prometheus, OpenTelemetry, SkyWalking, and Pyroscope, and offers SQL, PromQL, and OTLP interfaces. AutoTagging links observability data with cloud and Kubernetes resources, tags, and CMDB business tags. The Community Edition is open source under Apache 2.0 and is listed at free. It supports Linux servers and selected Kubernetes, cloud, and container environments; deployment guidance covers Kubernetes and Docker Compose. Enterprise Edition adds encrypted agent-to-server transmission, multi-tenancy, and data permission isolation. The listed platforms include Android, API, Linux, self-hosted, web, and Windows.
Inspektor Gadget
Inspektor Gadget is an open-source toolkit and framework for collecting eBPF data and inspecting Kubernetes clusters and Linux hosts. Its gadgets package eBPF programs as OCI images that can be deployed to examine systems. The toolkit enriches low-level kernel data with context such as Kubernetes pod and container names, and can export collected information to observability tools. WebAssembly modules can process data and customize operators; developers can also use the framework through a Go library. In Kubernetes, it runs as a DaemonSet, with one pod on each cluster node. Project gadgets require Linux kernel 5.10 or later with BTF enabled. Supported Kubernetes environments include Minikube, AKS, EKS, GKS, OpenShift, and Talos; AWS Fargate, Azure Container Instances, and GKE Autopilot are listed as unsupported. Official image-based gadgets are signed, and operators can restrict which gadgets may run by digest, tag, or image prefix. Inspektor Gadget has no long-term support releases: only the latest release receives maintenance and security updates.