Maple
Maple: A flexible OpenTelemetry stack spanning local, self-hosted, and cloud deployments. Ranked #24 of 29 in Observability Platforms by our editors (6.8/10); pricing: Free plan · 14-day trial; best for developers wanting flexible open-source deployment.
At a glance
- Editor score6.8 / 10
- PricingFree plan · 14-day trial
- Best forDevelopers wanting flexible open-source deployment
- Free planYes
- Paid from$39/mo
- Telemetry typestraces, logs, metrics, browser sessions, product events
- Facts checked20 Sep 2026
Where it wins
- Free Local and Self-hosted plans with no time limit
- OpenTelemetry ingestion for traces, logs, and metrics
- Service maps, session replay, Kubernetes monitoring, and alerting
Where it doesn't
- Cloud pricing includes signal-volume limits and usage-based billing
- Self-hosted deployment requires the customer's own infrastructure
- No synthetic monitoring support
Our verdict on Maple
Maple is an OpenTelemetry-based observability platform for distributed systems, aimed at developers and teams that want flexibility over deployment. It ingests traces, logs, metrics, browser sessions, and product events, then brings search, correlation, distributed tracing, dashboards, service maps, error tracking, session replay, Kubernetes monitoring, and alerting into one platform. Maple Local is a free single-binary stack for local development, while the Self-hosted plan runs on infrastructure controlled by the operator. Cloud provides a hosted option, and Enterprise targets higher-volume deployments.
The plan structure suits teams that want to start without a hosted commitment. Local costs $0 as a one-time plan and includes OTLP ingest, an embedded database, a query API, and a dashboard, with no account, cloud, or rate limits. Self-hosted also costs $0 as a one-time plan and gives operators control over retention and data residency. Cloud starts at $39 per month, includes 100 GB each of logs, traces, and metrics monthly, and provides 30-day retention. Enterprise is listed at $2,000 and adds higher volume, custom retention, priority support, and the option to run in the customer's cloud account.
Maple's ecosystem fit is strongest for teams already using OpenTelemetry, OTel Collector, Kubernetes, Docker, or Prometheus. Alerting connects with Slack, PagerDuty, Discord, email, and webhooks, while the REST API and MCP server support automation and AI clients. Distributed trace search, waterfall analysis, structured log search with trace correlation, and dependency mapping give the platform a broad investigation workflow rather than a narrow single-signal focus. Choose Maple when open-source deployment, operator control, and broad telemetry coverage matter. Teams that specifically need synthetic monitoring should consider another observability platform.
Your product? Our editors can test Maple in depth and publish a review, labelled as paid · from $149/mo →
Maple pricing
All 4 Maple plans and prices →
Maple fact sheet
| Free plan | Yes |
|---|---|
| Paid from | $39/mo |
| Telemetry types | traces, logs, metrics, browser sessions, product events |
| Log search | Yes |
| Distributed tracing | Yes |
| Data retention | 30 days |
| Synthetic monitoring | No |
| Pricing model | Usage_based |
| Free trial | 14 days |
| Deployment | Cloud, Desktop, Self-hosted |
| Platforms | Web, macOS, Linux |
| Integrations | 18 integrations: OpenTelemetry, OTel Collector, Kubernetes, Docker, Prometheus, Cloudflare … |
| Pricing | Free plan · 14-day trial (source) |
| Website | maple.dev |
| Facts checked | 20 Sep 2026 |
Maple integrations
Maple lists 18 integrations on its own site.
- OpenTelemetry
- OTel Collector
- Kubernetes
- Docker
- Prometheus
- Cloudflare
- PlanetScale
- GitHub
- WarpStream
- Hazel
- Slack
- PagerDuty
- Discord
- Telegram
- Webhooks
- Claude Code
- Cursor
Alternatives to Maple
- Dynatrace Infrastructure ObservabilityBroad hybrid-cloud observability with topology, telemetry correlation, AI analysis, and remediation.9.3
- Splunk Observability CloudA mature full-stack observability platform with a useful free edition and broad telemetry coverage.9.1
- Splunk AppDynamicsEnterprise observability that connects application, transaction, infrastructure, and business signals.9.0
Used Maple? Be the first to review it
The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used Maple for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
Write a reviewTwo minutes · verified accounts only · read by an editor before it appears
Featured on iTechGuides
Maple is listed in our Observability Platforms directory. Add the badge to your site — it links back to this page.
<a href="https://www.itechguides.com/products/maple/"><img src="https://www.itechguides.com/best/badge/maple.svg" alt="Featured on iTechGuides" width="230" height="46"></a>
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update