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SPECIFICTION
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DeepFlow vs Gyeeta

DeepFlow

deepflow.io

Gyeeta

gyeeta.github.io

Side by side

FigureDeepFlowGyeeta
Price fromFreeFree
Free planYesYes
Free trialYes—
Open source——
WebYesYes
WindowsYes—
LinuxYesYes
AndroidYes—
APIYesYes
Self-hostedYesYes
Plans published31
Spec score · eBPF Observability Tools8.1 (#8)8.0 (#10)
DeploymentThe documentation provides Kubernetes and Docker Compose deployment methods for an all-in-one installation.Components can be installed with shell scripts, Kubernetes Helm charts, Docker containers, native rpm or deb packages, or tar packages.

Plans

DeepFlow

  • Community EditionFree
  • Cloud EditionPriced on request
  • Enterprise EditionPriced on request

DeepFlow pricing →

Gyeeta

  • Free and open sourceFree

Gyeeta pricing →

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.

Visit deepflow.io

Gyeeta

Gyeeta is a free, open-source observability tool for Linux that runs in a self-hosted setup. It uses eBPF and kernel statistics to monitor hosts, services, and processes without application instrumentation. For TCP services, it reports query rates, latency, network throughput, active connections, and process resource use. Automatic discovery finds TCP services, clients, and dependencies without code changes or configuration inputs. Algorithms can identify service degradation or contention and suggest a probable cause. You can inspect results in a Web UI or query REST APIs, including queries spanning multiple hosts, with JSON responses. Alert notifications support email, Slack, PagerDuty, and webhooks. Documentation says data remains in-house. Installation is available through shell scripts, Helm charts, Docker containers, rpm or deb packages, and tar packages. The architecture documentation describes monitoring tens of thousands of hosts with one central server and intermediate servers. Gyeeta supports x86_64 Linux hosts with kernel 4.4 or newer.

Visit gyeeta.github.io