HyperDX vs Maple
HyperDX
hyperdx.io
Maple
maple.devSide by side
| Figure | HyperDX | Maple |
|---|---|---|
| Price from | $20/mo | $39/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | Yes | — |
| Web | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 4 |
| Spec score · Observability Platforms | 9.0 (#3) | 8.2 (#15) |
| Integrations | Documented ingestion options include OpenTelemetry, Fluentd, Fluent Bit, Syslog, AWS services, Cloudflare Workers, Docker, Fly.io, Heroku, Kubernetes and Vercel. | 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 | HyperDX is a cloud-based production monitoring and debugging tool for correlating logs, metrics, traces, and user sessions in one place. | Maple is an OpenTelemetry observability platform for distributed systems that ingests traces, logs, and metrics and stores them in ClickHouse. |
| Self-hosting | An open-source self-hostable edition is available alongside the hosted cloud service. | The source is published under FSL-1.1, with each release converting to Apache 2.0 after two years, and Maple can be self-hosted on infrastructure the customer operates. |
| Session replay | Browser session replays can be automatically connected to corresponding backend logs and traces. | Browser session replay records clicks, routes, console lines, and failed requests, linked to traces by a shared session ID. |
| Support | The site lists [email protected] and links to its Discord community. | The pricing page includes a private support channel with Startup and priority support for Enterprise. |
Plans
In their own words
HyperDX
HyperDX is a cloud-based production monitoring and debugging tool that brings logs, metrics, traces, and user sessions together. It is an open-source observability platform powered by ClickHouse and OpenTelemetry, with cloud and self-hosted deployment options across web, Linux, API, and self-hosted environments. Full-text search works across events without complex query syntax. Users can create visualizations and alerts, while notifications can go to Slack, email, or PagerDuty. Session replays link automatically with backend logs and traces, and recurring log patterns are grouped into clusters. Documented SDKs cover Elixir, Go, Java, browser JavaScript, Nest.js, Next.js, Node.js, Python, React Native, and Ruby on Rails. The Free plan costs nothing and includes 3 GB monthly, 3-day retention, and one user. Starter costs $20 a month with 50 GB, 30-day retention, and unlimited users. Enterprise has custom pricing. Billing adds charges above 50 GB monthly and for metrics usage.
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.