Maple vs Otelic: Which is Better in 2026?
A comprehensive comparison of Maple and Otelic covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Maple if:
- →You need traces, logs, metrics and session replay sharing one trace id and one session id or mcp server, ai chat and ai error triage included on the plan
Choose Otelic if:
- →You want more affordable paid plans (from $0.1/mo)
- →You need built on opentelemetry, so instrumentation is standard and portable or logs, traces and alerts in one place across all servers
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Maple vs Otelic: At a Glance
Pricing Comparison: Maple vs Otelic
Understanding the pricing differences between Maple and Otelic is crucial for making the right choice. Here's how their plans compare side by side.
Maple Pricing
Otelic Pricing
💡 Pricing takeaway: Both Maple and Otelic offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Maple and Otelic stacks up.
What Makes Each Tool Unique
🔵 Unique to Maple
Features available in Maple but not in Otelic:
- ✓Traces, logs, metrics and session replay sharing one trace id and one session id
- ✓MCP server, AI chat and AI error triage included on the plan
- ✓Open source on GitHub, with Maple Local shipping the platform as one binary
- ✓No per-host, per-seat or per-query charges; unlimited seats and dashboards
- ✓Alerts carry the service, threshold and sample traces, routable to Slack, Discord, PagerDuty or a webhook
🟣 Unique to Otelic
Features available in Otelic but not in Maple:
- ✓Built on OpenTelemetry, so instrumentation is standard and portable
- ✓Logs, traces and alerts in one place across all servers
- ✓Prepaid per-GB billing priced by retention, no subscription
- ✓Free tier at 1-day retention up to 100 GB per day
- ✓Webhook alerts for automated remediation
Use Case Recommendations
Best for: Maple
Maple is open-source observability — traces, logs and metrics over OpenTelemetry, stored in ClickHouse — built around the claim that the incident workflow should not require stitching four tools together. Every signal shares one trace id, so an alert arrives carrying the service, the threshold it broke and sample traces rather than a number and a shrug, and from there you move between the span tree, the structured logs, the browser session replay and the metrics without changing tools or losing the thread. Session replay is genuinely integrated rather than bolted on: every click, route change, console line and failed request is captured, and the replay and the spans share a session id, so a user-reported bug resolves to the exact backend trace. The AI surface is native rather than decorative — an MCP server ships on the plan, alongside AI chat and AI error triage, so an agent can query billions of rows itself instead of a human writing the query. The pricing model is the sharpest thing about it: usage-based with no per-host, no per-seat and no per-query charge, which the cost calculator on the site uses to argue an 85% saving against Datadog at a representative volume. Everything is on GitHub, and Maple Local ships the whole platform as a single binary. Two constraints: retention is 30 days on the Startup plan, and a card is required to start the 14-day trial.
Ideal use cases:
- •Teams or individuals who need traces, logs, metrics and session replay sharing one trace id and one session id
- •Teams or individuals who need mcp server, ai chat and ai error triage included on the plan
- •Teams or individuals who need open source on github, with maple local shipping the platform as one binary
- •Teams or individuals who need no per-host, per-seat or per-query charges; unlimited seats and dashboards
- •Anyone focused on observability workflows
- •Anyone focused on opentelemetry workflows
Best for: Otelic
Otelic is hosted logs, traces and alerts built directly on OpenTelemetry, which means instrumentation is the standard collector and SDK rather than a proprietary agent you would have to rip out later. It covers JavaScript, TypeScript, C++, C#, .NET, Erlang, Go, Java, PHP, Python, Ruby and Swift, and plugs into Kubernetes and the OpenTelemetry Collector, so most modern libraries for SQL, MongoDB, Redis and REST servers emit usable traces with no custom code. The argument the homepage makes is operational rather than technical: without centralised logs, developers SSH into production to grep, log rotation has often already deleted what you need, and multi-server deployments make reproduction hard enough that bugs get closed as unreproducible. Centralising the data removes the need for that access and makes alerts and webhook-driven automation possible at all. What makes it unusual for the category is the billing model — there is no monthly subscription, no per-seat, per-host or per-search fee. You top up a balance and pay per gigabyte at a rate set by how long you want the data retained, and if the balance runs out you fall back to default retention rather than getting a surprise invoice. The vendor publishes a comparison against CloudWatch, an instrumentation reference guide with samples, and a set of short explainer videos, and the onboarding claim is that a junior developer is productive on it within about three minutes with no training.
Ideal use cases:
- •Teams or individuals who need built on opentelemetry, so instrumentation is standard and portable
- •Teams or individuals who need logs, traces and alerts in one place across all servers
- •Teams or individuals who need prepaid per-gb billing priced by retention, no subscription
- •Teams or individuals who need free tier at 1-day retention up to 100 gb per day
- •Anyone focused on opentelemetry workflows
- •Anyone focused on logging workflows
📊 Other Analytics & BI Tools to Consider
Maple and Otelic aren't the only options. Here are other popular tools in the same space:
Amplitude
Product analytics platform with AI insights, funnels & retention analysis for PLG teams
Mixpanel
Event-based product analytics with AI insights and self-serve exploration
Chartsy
Chat-driven MRR, churn, and LTV analytics on top of your Stripe or Paddle data
Fusionaly
Self-hosted, ad-block-proof web analytics in one SQLite file and one Docker container, with a plain-language daily digest and optional natural-language querying via your own key.
Repohistory
Stores GitHub repository traffic past the 14-day retention limit GitHub enforces, with charted long-run analytics, org-wide overview and data export.
BurnRate
Local-first cost analytics for AI coding tools that tracks every subagent spawned across seven providers
Is one of these your tool?
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Frequently Asked Questions
Is Maple better than Otelic?
It depends on your needs. Maple offers 5 key features including Traces, logs, metrics and session replay sharing one trace id and one session id and MCP server, AI chat and AI error triage included on the plan, while Otelic provides 5 features including Built on OpenTelemetry, so instrumentation is standard and portable and Logs, traces and alerts in one place across all servers. Maple uses a paid model with a free tier, while Otelic is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Maple cheaper than Otelic?
Otelic is cheaper, starting at No monthly payments and no per-seat, per-host or per-search fees; you top up a balance and are charged per gigabyte at a rate set by retention period. One-day retention is free up to a maximum of 100 GB per day. Beyond that: 3 days at €0.05/GB (about 200 GB for €10), 7 days at €0.18/GB (about 55.56 GB for €10), 14 days at €0.23/GB (about 43.48 GB for €10), 1 month at €0.47/GB (about 21.28 GB for €10), 3 months at €1.36/GB (about 7.35 GB for €10) and 6 months at €2.76/GB (about 3.62 GB for €10). If the balance runs out there are no overage fees — the account reverts to default data retention. compared to Maple's $39/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Maple and Otelic together?
Yes, many users combine Maple and Otelic in their workflow. Maple excels at traces, logs, metrics and session replay sharing one trace id and one session id, while Otelic shines with built on opentelemetry, so instrumentation is standard and portable. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Maple and Otelic?
While both are analytics & bi tools, Maple emphasizes traces, logs, metrics and session replay sharing one trace id and one session id, whereas Otelic is known for built on opentelemetry, so instrumentation is standard and portable. The best choice depends on your specific workflow and feature priorities.
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