Buying Guide
How to Choose an Embedded Analytics Platform for Your SaaS Product
You've decided your SaaS product needs embedded analytics. Now you're evaluating platforms — and the differences between vendors are harder to see than the marketing makes them look. This guide cuts through it: pricing models that look affordable until they don't, multi-tenant requirements vendors underplay, embedding patterns that matter for ISVs specifically, and the evaluation questions that reveal the most about a vendor before you sign.
Table of Contents
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01
Is Embedded Analytics the Right Move for Your SaaS Product? Before you evaluate vendors, confirm you're solving the right problem. What embedded analytics actually is, what it isn't, and how to know if your product is ready for it — or if you should build instead.
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02
Pricing Models — What You'll Actually Pay at Scale Per-user, per-tenant, consumption-based, flat-tier — the model matters more than the number. How each pricing structure behaves as your customer base grows, and why most ISVs get this wrong in year one.
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03
Architecture and Tech Stack Fit The questions to answer before you run a trial — deployment model, database compatibility, self-hosted vs. cloud-only, and how the platform connects to your data. Architecture mismatches can't be patched after the fact.
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04
Multi-Tenant Security and Data Isolation The hardest requirement in embedded analytics — and the one most vendors underplay in demos. How tenant isolation actually works, what to confirm before you trust it, and the difference between enforced isolation and assumed isolation.
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05
Embedding and White-Labeling for ISVs How iframe and API embedding actually work, what white-label really means (and what vendors mean when they say it), and what your customers will — and won't — be able to tell about the platform running inside your product.
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06
Scalability, Performance, and Billing Strategy A platform that performs at 10 tenants may not perform at 100. How to evaluate performance at scale, what caching architectures to look for, and how your analytics billing model interacts with how you charge your own customers.
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07
How to Evaluate Vendors — and Next Steps The evaluation process that reveals the most about a vendor — what to ask, what to test, what red flags to watch for, and how to run a trial that actually answers your questions before you commit.