Coroot vs Metoro Kubernetes Profiling
Coroot
coroot.comMetoro Kubernetes Profiling
metoro.ioSide by side
| Figure | Coroot | Metoro Kubernetes Profiling |
|---|---|---|
| Price from | $1/mo | $20/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 7 | 6 |
| Spec score · Continuous Profiling Tools | 9.3 (#1) | 8.8 (#5) |
| Spec score · eBPF Observability Tools | 9.3 (#1) | 8.8 (#3) |
| Company founding | LinkedIn lists Coroot as founded in 2021. | LinkedIn gives Metoro a 2023 founding year and San Francisco, California headquarters. |
| Company size | LinkedIn lists Coroot as a privately held software-development company with 2–10 employees. | LinkedIn lists Metoro as privately held with 11–50 employees. |
| Continuous profiling | Its profiler continuously profiles node processes and can associate profiles with container metadata. | The Kubernetes Profiling feature continuously samples CPU activity at the kernel, attributes stacks to pods and services, and relates changes to deployments, traffic shifts and noisy neighbors. |
| Funding | Crunchbase lists Coroot as private, pre-seed and records one pre-seed funding round with NC Tweener Fund as investor. | Crunchbase lists a Metoro pre-seed funding round, but the amount and date are hidden on the public page. |
| Purpose | Coroot is an open-source observability platform powered by eBPF that collects metrics, logs, traces and profiling data without code changes. | Metoro continuously profiles Kubernetes workloads using an eBPF sampling profiler running at the kernel level. |
| Rating on G2 | 4.6 out of 5 from 5 reviews | 5.0 out of 5 from 1 review. |
| Rating on GetApp | 0 out of 5 from 0 reviews | 0 out of 5 from 0 reviews. |
| Support | Standard includes business-hours support by email, chat or ticket, while Premium includes 24×7 and phone support. | The Scale plan includes support via Slack with Metoro engineers, while Enterprise includes 24/7 white-glove support and onboarding. |
| What it does | Coroot is an open-source observability and application-performance platform that correlates metrics, logs, traces, profiles and service dependencies. | Metoro is an AI SRE and Kubernetes observability platform that collects logs, metrics, traces, profiles, Kubernetes events and deployment context with eBPF, then investigates incidents and can open fix pull requests. |
Plans
Coroot
- Community EditionFree
- Community Edition / Free Open SourceFree
- Enterprise Edition$1 a month
- Standard$1 a month
- Pro$25 a month
- EnterprisePriced on request
- PremiumPriced on request
Metoro Kubernetes Profiling
- HobbyFree
- Cloud$20 a month
- Scale$20 a month
- BYOCPrice not published
- EnterprisePriced on request
- On PremPrice not published
In their own words
Coroot
Coroot is an open-source observability platform that uses eBPF to collect metrics, logs, traces, and profiling data without code changes. It maps services and dependencies, and pairs eBPF auto-instrumentation with OpenTelemetry SDK traces for end-to-end request tracking. Continuous profiling can locate CPU spikes down to the line of code. Coroot tracks cloud costs without access to cloud accounts and detects risks such as single-instance applications, unreplicated databases, poor replica placement, and publicly exposed services. Its AI root cause analysis correlates metrics, logs, traces, events, and profiles to identify likely incident causes, with evidence and suggested fixes. Notifications can be sent through Slack, Microsoft Teams, PagerDuty, Opsgenie, and webhooks. Coroot supports Kubernetes, OpenShift, Docker, Docker Swarm, several listed Linux distributions, and Windows agents. Linux use requires kernel version 5.1 or later. The platform is self-hosted, keeping data within the customer's infrastructure. Community Edition is Apache 2.0 licensed and can run on premises or in a customer's cloud. The free Community Edition includes core features. Standard support is by email, chat, or ticket during business hours, while Premium includes 24×7 and phone support.
Metoro Kubernetes Profiling
Metoro Kubernetes Profiling continuously profiles Kubernetes workloads with an eBPF sampler running at the kernel level. It creates interactive flame graphs that can be grouped by service, pod, or container and filtered by cluster, namespace, deployment, or Kubernetes label. Metoro lists Go, Python, C++, C, Rust, Node.js, and Java support, with host-level frames for other runtimes. Profiling does not require SDKs, code changes, language agents, restarts, or rebuilds, and can cover third-party containers and vendor workloads. Profiles connect to Metoro APM traces, logs, metrics, pod state, and deployment context. Installation uses Helm, with Cloud, BYOC, and on-premises deployment options. The free Hobby plan includes one cluster, one user, and two nodes with 28-day retention. Scale costs $20 USD per node per month, plus $0.20 per GB above 100GB per node. Enterprise pricing is contract-based and offers custom retention and SLAs. eBPF requires Linux kernel 4.18 or newer.