Analytise vs Monitr: Which is Better in 2026?
A comprehensive comparison of Analytise and Monitr covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Analytise if:
- →You need assistant referral breakdown for chatgpt, perplexity, claude and copilot or no cookies, no device storage, zero personal records — no consent banner
Choose Monitr if:
- →You need natural-language questions converted to inspectable sql or sql queries turned into shareable real-time dashboards
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Analytise vs Monitr: At a Glance
Pricing Comparison: Analytise vs Monitr
Understanding the pricing differences between Analytise and Monitr is crucial for making the right choice. Here's how their plans compare side by side.
Analytise Pricing
💡 Pricing takeaway: Both Analytise and Monitr 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 Analytise and Monitr stacks up.
What Makes Each Tool Unique
🔵 Unique to Analytise
Features available in Analytise but not in Monitr:
- ✓Assistant referral breakdown for ChatGPT, Perplexity, Claude and Copilot
- ✓No cookies, no device storage, zero personal records — no consent banner
- ✓Sub-1 KB script tag, works on any site or framework
- ✓Custom goals, funnels and journey analytics with autocapture
- ✓HTTP API and MCP server so agents can query your analytics
🟣 Unique to Monitr
Features available in Monitr but not in Analytise:
- ✓Natural-language questions converted to inspectable SQL
- ✓SQL queries turned into shareable real-time dashboards
- ✓Connects to existing PostgreSQL databases or API endpoints
- ✓Unlimited viewer seats — billing is per editor
- ✓AI assistant powered by Claude for schema-aware query generation
Use Case Recommendations
Best for: Analytise
Analytise is a cookieless web-analytics product built around one measurement the incumbent tools handle badly: how much traffic an assistant is sending. It breaks out referrals from ChatGPT, Perplexity, Claude, Microsoft Copilot and others as a first-class dimension alongside the usual visitors, pageviews, bounce rate and session length, which is the number anyone doing GEO or AI-visibility work currently has to reconstruct by hand out of a referrer report. The privacy posture is the second pillar and is unusually concrete: no cookies are set, nothing is stored on the visitor's device, processing happens server-side, data is anonymised automatically and the site states zero personal records are stored — which is what removes the consent-banner requirement rather than merely making it smaller. The tracker is a single script tag under 1 KB. Beyond referrals it covers custom goals and funnels, journey analytics showing source, time-to-complete and which goal fired, autocapture of clicks, rage clicks, dead clicks and form submissions with no manual event setup, revenue tracking, and up to three years of history with no sampling. For agent workflows there is an HTTP API and an MCP server, so Claude, Cursor or ChatGPT can query a site's analytics directly instead of a human opening a dashboard. Unlimited websites and unlimited team members are included.
Ideal use cases:
- •Teams or individuals who need assistant referral breakdown for chatgpt, perplexity, claude and copilot
- •Teams or individuals who need no cookies, no device storage, zero personal records — no consent banner
- •Teams or individuals who need sub-1 kb script tag, works on any site or framework
- •Teams or individuals who need custom goals, funnels and journey analytics with autocapture
- •Anyone focused on analytics workflows
- •Anyone focused on privacy workflows
Best for: Monitr
Monitr is a small, opinionated data workspace that puts a SQL editor, dashboards and an AI query assistant in one place, aimed at the team that has a PostgreSQL database and a recurring need to answer questions about it without standing up a BI platform. You connect a database or an API endpoint, ask the assistant a business question in plain language, and get an optimised SQL query back that you can inspect, edit and run — which is the right order of operations, because the analyst keeps the ability to check the query rather than trusting a chart that appeared from nowhere. Queries turn into real-time visualisations, and those dashboards are what you share with stakeholders tracking KPIs. Collaboration is priced sensibly for this shape of tool: seats are counted per editor and viewer seats are unlimited, so publishing a dashboard to the whole company does not multiply the bill. The AI assistant runs on Claude and is pitched at understanding complex database schemas well enough to generate and validate queries at scale rather than only handling toy tables. The product is deliberately narrow — connect, query, visualise, ask, share — and the pricing reflects a tool sold to individual practitioners rather than through procurement, with a seven-day free trial on both paid tiers.
Ideal use cases:
- •Teams or individuals who need natural-language questions converted to inspectable sql
- •Teams or individuals who need sql queries turned into shareable real-time dashboards
- •Teams or individuals who need connects to existing postgresql databases or api endpoints
- •Teams or individuals who need unlimited viewer seats — billing is per editor
- •Anyone focused on sql workflows
- •Anyone focused on dashboards workflows
📊 Other Analytics & BI Tools to Consider
Analytise and Monitr 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 Analytise better than Monitr?
It depends on your needs. Analytise offers 5 key features including Assistant referral breakdown for ChatGPT, Perplexity, Claude and Copilot and No cookies, no device storage, zero personal records — no consent banner, while Monitr provides 5 features including Natural-language questions converted to inspectable SQL and SQL queries turned into shareable real-time dashboards. Analytise uses a paid model with a free tier, while Monitr is paid with free access available. Choose based on which features and pricing model align with your requirements.
Is Analytise cheaper than Monitr?
Both tools are similarly priced, starting at $9/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 Analytise and Monitr together?
Yes, many users combine Analytise and Monitr in their workflow. Analytise excels at assistant referral breakdown for chatgpt, perplexity, claude and copilot, while Monitr shines with natural-language questions converted to inspectable sql. 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 Analytise and Monitr?
While both are analytics & bi tools, Analytise emphasizes assistant referral breakdown for chatgpt, perplexity, claude and copilot, whereas Monitr is known for natural-language questions converted to inspectable sql. The best choice depends on your specific workflow and feature priorities.
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