ApexData vs Metoro Kubernetes Profiling
ApexData
apexdata.aiMetoro Kubernetes Profiling
metoro.ioSide by side
| Figure | ApexData | Metoro Kubernetes Profiling |
|---|---|---|
| Price from | $1,000/mo | $20/mo |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 6 |
| Spec score · eBPF Observability Tools | 7.9 (#11) | 8.8 (#3) |
| Deployment | ApexData offers SaaS with consumption-based billing and on-premise deployment with an annual fixed-cost model; air-gapped deployment is available. | Metoro is installed with Helm and is available as Metoro Cloud, BYOC, or on-premises deployment. |
| Integrations | The maker says supported integrations include Slack, PagerDuty, Opsgenie, Jira, Prometheus, Grafana, Datadog, and the existing monitoring stack. | Official documentation lists Slack, PagerDuty and webhooks as alert destinations, while the Cloud page also names Datadog and Grafana. |
| Security | The AI Investigation page says ApexData can be deployed on the customer’s cluster or VPC, that data stays in the customer’s infrastructure, and that it is SOC 2 Type II compliant. | Metoro states SOC 2 Type II certification, TLS 1.3 in transit, AES-256 at rest, SSO/SAML, RBAC and audit logging for Cloud. |
| Support | The maker advertises dedicated 24/7 support from engineers and founders, hands-on training, guided onboarding, and custom development. | The Scale plan includes support via Slack with Metoro engineers, while Enterprise includes 24/7 white-glove support and onboarding. |
Plans
ApexData
- Startup$1,000 a month
- Essentials$5,000 a month
- Professional$7,000 a month
- Enterprise$10,000 a month
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
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.