groundcover vs Maple
groundcover
groundcover.com
Maple
maple.devSide by side
| Figure | groundcover | Maple |
|---|---|---|
| Price from | $30/mo | $39/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 4 |
| Spec score · Observability Platforms | 8.3 (#12) | 8.2 (#15) |
| Integrations | Listed integrations include Kubernetes, OpenTelemetry, Prometheus, AWS CloudWatch, Google Cloud Monitoring, Azure, MongoDB Atlas, Redis Cloud, Datadog, and GitHub. | The pricing page lists SDKs and guides for Effect, Node.js, Next.js, Python, Go, Rust, Java, C#, Kotlin, and Laravel, plus Cloudflare, PlanetScale, GitHub, WarpStream, and Hazel integrations. |
| Product | groundcover is a cloud-native observability platform powered by eBPF for monitoring production environments. | Maple is an OpenTelemetry observability platform for distributed systems that ingests traces, logs, and metrics and stores them in ClickHouse. |
| Support | Standard support offers business-hours availability with stated response targets from under 8 hours for critical issues to under 72 hours for low-priority issues. | The pricing page includes a private support channel with Startup and priority support for Enterprise. |
Plans
In their own words
groundcover
groundcover is a cloud-native observability platform for monitoring production environments. Its eBPF sensor collects metrics, logs, and traces without code changes or manual instrumentation, processes data at the edge, and the product states that ingestion happens in real time without sampling. Bring Your Own Cloud deployment puts the backend in the customer’s cloud while groundcover manages it and hosts the UI. Fully On-Prem deployment places both backend and UI on customer premises, including cloud or physical servers. Integrations include Kubernetes, OpenTelemetry, Prometheus, AWS CloudWatch, Google Cloud Monitoring, Azure, MongoDB Atlas, Redis Cloud, Datadog, and GitHub. Agent Mode can investigate telemetry and create dashboards, monitors, gcQL queries, and OTTL pipelines. The Free plan is free forever and includes 12-hour data retention and Slack Community support; paid plans start at $30 per host per month. Billing is based on average monthly monitored Kubernetes nodes or Linux hosts, not telemetry volume. The platform is available on Linux, self-hosted, and web.
Maple
Maple is an OpenTelemetry observability platform for distributed systems. It ingests traces, logs, and metrics and stores them in ClickHouse. Teams can inspect request spans, relate traces to logs and service data, search structured logs by severity, service, or attribute, and open a trace from a log. Metric tools include exploration, dashboards, service maps, and alerting. Browser session replay records clicks, routes, console lines, and failed requests, linking sessions to traces with a shared ID. Alerts can route to Slack, PagerDuty, Discord, Telegram, email, webhooks, and Hazel. A hosted MCP server and documented REST API support automation for telemetry search, error triage, dashboards, and alert rules. Maple offers cloud, self-hosted, and local options; Maple Local runs ingestion, an embedded database, query API, and dashboard in one binary without an account or cloud service. Self-hosted source is FSL-1.1 and converts to Apache 2.0 after two years. Startup costs $39 per month and includes 30-day retention. Maple Cloud offers US and EU regions, but the selected region cannot later be changed.