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Maple logoMaple
vs
Site Qwality logoSite Qwality

Maple vs Site Qwality: Which is Better in 2026?

A comprehensive comparison of Maple and Site Qwality 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 Site Qwality if:

  • You want more affordable paid plans (from $15/mo)
  • You need four products — uptime, observability, rum and incident response — priced independently or free tier on every product rather than a single trial across the bundle

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Maple vs Site Qwality: At a Glance

Attribute
Maple
Site Qwality
Pricing Model
Paid
Freemium
Starting Price
Free plan + paid from $39/month
Starting at $15/month
Free Tier
✓ Yes
✓ Yes
Category
Analytics & BI
Analytics & BI
Features Count
5 features
5 features
Shared Features
0 features in common

Pricing Comparison: Maple vs Site Qwality

Understanding the pricing differences between Maple and Site Qwality is crucial for making the right choice. Here's how their plans compare side by side.

Maple Pricing

Startup is$39/month
Free$0/month
Free$0/month
Monthly allowances are 100 GB of logs, 100 GB of traces and 100 GB of metrics, each then$0.30/month
product events are unlimited and free during betaSee website
Enterprise starts from$2,000/month
The site's own calculator gives a representative bill of$84/month
View full Maple pricing →

Site Qwality Pricing

Pay for what you use, per product, with every product starting free and no bundled tiersSee website
Three quick-fill presets: Hobby for side projects and solo builds is free/monthSee website
Startup for production traffic is$15/month
Scale for multi-region SaaS with on-call is$100/month
Beyond the presets, capacity is picked per product and the total updates liveSee website
TLS and DNS checks from a US region, is free at 100K checks/month on 5-minute intervals, then$15/month
Pro$50/month
$200/month for 10M and$750/month
View full Site Qwality pricing →

💡 Pricing takeaway: Both Maple and Site Qwality 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 Site Qwality stacks up.

Feature
Maple
Site Qwality
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
Four products — uptime, observability, RUM and incident response — priced independently
Free tier on every product rather than a single trial across the bundle
Cron monitoring for missed, late and failed scheduled jobs, unlimited on any paid plan
Full failing-response capture, 5 days free and 30 days on paid
Slack, Discord, webhook and REST API integrations plus white-label agency wholesale

What Makes Each Tool Unique

🔵 Unique to Maple

Features available in Maple but not in Site Qwality:

  • 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 Site Qwality

Features available in Site Qwality but not in Maple:

  • Four products — uptime, observability, RUM and incident response — priced independently
  • Free tier on every product rather than a single trial across the bundle
  • Cron monitoring for missed, late and failed scheduled jobs, unlimited on any paid plan
  • Full failing-response capture, 5 days free and 30 days on paid
  • Slack, Discord, webhook and REST API integrations plus white-label agency wholesale

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
Try Maple

Best for: Site Qwality

Site Qwality bundles the four things a small team usually buys from four separate vendors — uptime monitoring, observability, real-user monitoring and incident response — and prices each of them independently so nobody pays for the three they do not need. That unbundled pricing is the design decision the whole product is arranged around: rather than a Starter/Pro/Business ladder where a single needed feature forces a tier jump, each product has its own free tier and its own usage ladder, and the total updates live as capacity is selected. Uptime covers HTTP, TLS and DNS checks plus synthetics, retaining the full failing response for five days free or thirty on any paid plan. Cron monitoring catches jobs that ran late, ran short or never ran, with twenty-five monitors free and unlimited included on any paid plan. Observability handles logs, metrics and distributed traces; real-user monitoring covers web vitals, session replays and front-end errors; incident response covers on-call rotations, escalation policies and public status pages. Integrations reach Slack, Discord, webhooks and a REST API. A substantial free tool layer — an uptime calculator converting an SLA into a real downtime budget, a cron expression builder, an HTTP status code reference, and a live is-it-down board for ChatGPT, AWS and Slack — sits in front as the acquisition channel, and there is a wholesale partner programme for agencies reselling monitoring. No credit card is needed to start and caps are soft rather than bill-shocking.

Ideal use cases:

  • Teams or individuals who need four products — uptime, observability, rum and incident response — priced independently
  • Teams or individuals who need free tier on every product rather than a single trial across the bundle
  • Teams or individuals who need cron monitoring for missed, late and failed scheduled jobs, unlimited on any paid plan
  • Teams or individuals who need full failing-response capture, 5 days free and 30 days on paid
  • Anyone focused on uptime-monitoring workflows
  • Anyone focused on observability workflows
Try Site Qwality

📊 Other Analytics & BI Tools to Consider

Maple and Site Qwality aren't the only options. Here are other popular tools in the same space:

🏷️

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Frequently Asked Questions

Is Maple better than Site Qwality?

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 Site Qwality provides 5 features including Four products — uptime, observability, RUM and incident response — priced independently and Free tier on every product rather than a single trial across the bundle. Maple uses a paid model with a free tier, while Site Qwality is freemium with free access available. Choose based on which features and pricing model align with your requirements.

Is Maple cheaper than Site Qwality?

Site Qwality is cheaper, starting at $15/month 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 Site Qwality together?

Yes, many users combine Maple and Site Qwality in their workflow. Maple excels at traces, logs, metrics and session replay sharing one trace id and one session id, while Site Qwality shines with four products — uptime, observability, rum and incident response — priced independently. 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 Site Qwality?

While both are analytics & bi tools, Maple emphasizes traces, logs, metrics and session replay sharing one trace id and one session id, whereas Site Qwality is known for four products — uptime, observability, rum and incident response — priced independently. The best choice depends on your specific workflow and feature priorities.

Learn More

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