Maple

Maple is an OpenTelemetry observability platform for teams investigating distributed services and browser-side failures. Its connected telemetry and flexible deployment options make it a strong fit for teams that want control over where data runs; the Startup quotas and fixed cloud region make the buying decision more involved.

Overview

Maple ingests traces, logs, and metrics and stores them in ClickHouse. Engineers can move from a structured log to its trace, while traces expose request spans alongside logs and service data. That cross-signal workflow is useful when an incident spans services; teams looking for synthetic monitoring will need another tool, since Maple does not provide it.

Browser session replay captures clicks, routes, console lines, and failed requests, connecting sessions to traces through a shared session ID. Product events are unlimited and free during beta, which adds room to track those events without a separate quota during the beta period.

Key features

Telemetry and response

Log search can filter structured records by severity, service, or attribute. Metrics have exploration, dashboards, service maps, and alerting, while alert rules can route to Slack, PagerDuty, Discord, Telegram, email, webhooks, or Hazel. The combination gives observability teams both investigation paths and notification destinations without limiting them to one chat or paging service.

Integrations and automation

SDKs and guides cover Effect, Node.js, Next.js, Python, Go, Rust, Java, C#, Kotlin, and Laravel, alongside integrations for Cloudflare, PlanetScale, GitHub, WarpStream, and Hazel. A hosted MCP server and documented REST API let agents and automation search telemetry, triage errors, build dashboards, and manage alert rules. That will matter most to teams already building operational workflows around APIs or agents.

Deployment and data control

Maple Cloud offers US and EU regions; EU telemetry is stored and processed in Frankfurt. The region cannot be changed after selection, so teams should choose with their residency requirements in mind. Self-hosting puts Maple on infrastructure a customer operates; its source is under FSL-1.1, with each release converting to Apache 2.0 after two years. Maple Local packages ingest, an embedded database, query API, and dashboard into one binary on a developer machine, without an account or cloud service.

Pricing

Maple is freemium, with a 14-day trial and paid cloud access from $39/mo. The free Self-hosted plan costs nothing and leaves retention and residency to the operator, but requires running the source on customer infrastructure. Local also costs nothing; its single binary has no account, cloud service, or rate limits, making it a practical fit for individual local use rather than a hosted team service.

Startup costs $39 a month, billed $39 /month. It includes 100 GB each of logs, traces, and metrics, then charges $0.30/GB per signal; 5,000 browser sessions are included, then cost $0.002/session. The plan also includes unlimited product events free during beta, 30-day retention, and a private support channel. It suits teams starting with managed cloud observability, but the separate overage rates mean costs can rise as ingestion or replay volume grows.

Enterprise is custom pricing, from $2,000, with higher volume, custom retention, priority support, and the option to run in the customer's own cloud account. It fits larger deployments that need tailored retention or cloud-account control; the higher entry price makes it a different proposition from Startup.

Platforms

Maple supports API, iOS, Linux, macOS, self-hosted, and web environments. The platform range and separate Local binary make it relevant to teams spanning developer machines and deployed services, while cloud region choice remains a one-time decision.

Who it's for

Maple is best for engineering teams using OpenTelemetry that want traces, logs, metrics, and browser replay connected in one investigative workflow, particularly those that value a choice of managed cloud, self-hosting, or local use. Teams with strict retention needs, rapidly growing telemetry volumes, or a need for synthetic checks should weigh the plan limits and missing monitoring type before committing.

Pros and cons

Pro: Logs, traces, metrics, and browser sessions are linked for investigation, helping teams follow service issues into browser failures.

Pro: Cloud, self-hosted, and local deployment options suit different infrastructure and data-control preferences.

Pro: API and MCP interfaces support telemetry search, error triage, dashboard creation, and alert management automation.

Con: Startup has 30-day retention, so teams needing longer history must consider Enterprise's custom retention.

Con: Startup overage charges apply separately to telemetry and browser sessions, which can make higher-volume use more expensive.

Con: The chosen Maple Cloud region cannot be changed later, and synthetic monitoring is absent.

Alternatives

Observability Platforms is the broader category to browse if Maple's deployment model or monitoring scope is not the right fit.

Middleware is worth considering if a free tier with up to 100GB of data, 1k RUM sessions, and 20k synthetic checks is a better match than Maple's Startup quotas.

Dynatrace Kubernetes Monitoring is an alternative for readers focused specifically on Kubernetes platform monitoring.

Uptrace may suit teams prioritizing low-cost cloud ingestion: its Uptrace Cloud plan includes 50 GB free/mo, then charges $0.075/GB, with unlimited users, services, and hosts.

Honeycomb is an alternative with a free tier capped at 20M events/month, 100M metrics data points/month, and two triggers.

KloudMate offers a free tier with separate 10 GB monthly logs and traces caps, 15M metric samples/month, and seven-day retention.

SigNoz is another freemium observability option, including a self-hosted community edition.

Grafana Cloud Application Observability may suit readers who want a free tier expressed as 2,232 host hours.

New Relic Kubernetes Monitoring is an alternative with a free plan and a Pro plan priced at $349 a year for annual commitments.

Verdict

Choose Maple if your team wants OpenTelemetry traces, logs, metrics, and browser replay connected, with the option to run in cloud, on your infrastructure, or locally. Its principal strengths are the linked investigations and deployment choice; look elsewhere if you need synthetic monitoring, longer default retention, or more flexible cloud-region changes.