Multi-Tenant Analytics Platform

Built for multi-tenant SaaS. Secure for every customer.

Qrvey delivers multi-tenant analytics as a native extension of your SaaS architecture - so your product team can serve every customer with secure, self-service analytics, governed by the same tenant model as the rest of your application.

Book a demo ->Watch a demo

Purpose-built for multi-tenant SaaS analyticsDeploy in your cloudBuilt-in data engine, APIs, security, embedded analytics

Multi-tenant analytics inside leading SaaS products

01THE PROBLEM

Why analytics turns into a second product

Multi-tenant analytics gets complicated fast.

As your customer base grows, analytics becomes more than dashboards and reports. Every tenant introduces new requirements for security, customization, governance, and scale. What starts as a simple analytics feature quickly becomes infrastructure that your team must build, maintain, and protect.

The challenge isn't creating charts. It's managing everything around them.

What your team has to manage

Challenge #1

Multi-tenant security

One missed filter, one bad query — and a customer sees data that isn't theirs. Tenant boundaries can't ride on hand-coded checks scattered across the codebase.

Challenge #2

Tenant customization

Every customer eventually wants their own dashboards, fields, reports, or business logic — and “no” stops being an answer you can keep giving.

Challenge #3

Data complexity

Live data, batched data, three warehouses, and a CSV someone emailed last week — and dashboards still need to come back fast and be right.

Challenge #4

Deployment management

Promoting dashboards and reports from dev to test to prod — and into each customer tenant — without breaking what's already live in front of customers.

Challenge #5

Operational overhead

Pipelines, APIs, permissions, and reporting infrastructure don't maintain themselves — and every roadmap cycle has to budget engineers just to keep it running.

Challenge #6

Scale without surprises

Twice the tenants, ten times the users, a hundred times the data — and dashboards still need to load before the customer gives up and files a ticket.

The result

Engineering teams spend years maintaining analytics infrastructure instead of building product differentiation.

02THE SOLUTION

Built around multi-tenancy, not bolted on

Meet Qrvey's multi-tenant analytics platform.

Qrvey is an AI-native embedded analytics platform built for SaaS companies that need to deliver analytics to many customers from one secure, scalable platform. Qrvey delivers multi-tenant analytics as a native extension of your SaaS architecture.

Instead of stitching together separate tools for data pipelines, permissions, visualization, reporting, and deployment, Qrvey gives your team a complete analytics layer designed around multi-tenancy from the start.

01 / Inherited from your app

Native multi-tenant security and permissions

Analytics follows the same tenant and access model as your application, ensuring consistent enforcement as customers and usage grow. Deliver secure analytics experiences for every tenant.

02 / Self-service with guardrails

Governed customer autonomy

Customers can explore and share analytics within product-defined guardrails — without forcing teams to rebuild governance with every feature. Support tenant-specific data models, dashboards, and permissions.

03 / Without cost surprises

Predictable scale

As adoption grows, analytics remains operationally stable and economically aligned with SaaS business models.

See how SaaS companies are running multi-tenant analytics with Qrvey.Book a demo ->

03HOW IT WORKS

Four steps from your security model to every customer

From your application's security model to analytics every tenant trusts.

1ALIGN

Align

Multi-tenant security, permissions, and access rules mirror your application's model.

2EMBED

Embed with control

Analytics is embedded directly into your product with full UI control and tenant-aware access.

3RELEASE

Release with confidence

Built-in content migration supports disciplined releases across environments.

4SCALE

Scale economically

Analytics scales with tenants and usage without introducing operational or cost surprises.

04KEY CAPABILITIES

Built into the platform — not the engineering backlog

Everything you need to deliver multi-tenant analytics at scale.

Give every customer a personalized analytics experience while keeping data secure, governed, and scoped to the right tenant.

Core capabilities

Native multi-tenant security

Built-in multi-tenant security, permissions, and access rules are enforced natively as part of the platform.

Tenant-aware governance for self-service analytics

Customers can explore, customize, and share analytics while access and visibility remain fully governed.

Token-based embedding with full UI control

Embed analytics directly into your application using token-based authentication and tenant-aware access controls.

Analytics lifecycle management

Promote dashboards, datasets, and configurations across development, testing, and production environments with confidence.

Built to scale economically

Support growing analytics adoption without introducing unpredictable infrastructure costs or operational overhead.

01 / The data engine

Built-in data engine designed for multi-tenant analytics

Most analytics platforms assume your data is already prepared for analytics. Qrvey includes a built-in data engine designed specifically for customer-facing analytics, helping SaaS teams manage performance, multi-tenant security, and data complexity at scale.

Why it matters

Prepare different data types for customer-facing analytics
Support both synced and live data sources
Reduce dependency on expensive warehouse queries
Deliver analytics from multiple data sources in a single experience

ResultCost savings and less engineering effort spent building and maintaining data infrastructure.

Image PlaceholderBuilt-in data engine — multi-source ingestion, synced + live, tenant-aware

02 / Tenant data models

Tenant-specific data models without custom development

Not every customer needs the same dashboards, metrics, or reporting experience. Qrvey allows you to tailor analytics at the tenant or user level while maintaining a single governed platform.

What you can customize

Create data models down to the tenant or user level
Custom field names and business terminology
Tenant-level calculations and metrics
Unique reporting experiences for different customer segments

ResultGreater customer flexibility without creating one-off analytics projects for your engineering team.

Image PlaceholderTenant-specific data models — field-level customization, no engineering work

See how SaaS companies are putting these capabilities to work with Qrvey.Book a demo ->

05DIFFERENTIATION

Built for SaaS teams that have outgrown basic embedded dashboards

Built for SaaS — not BI bolt-ons or custom builds.

BI tools introduce detached experiences and re-implemented security. Homegrown analytics gives control but becomes expensive to evolve. Qrvey delivers multi-tenant analytics as a complete, SaaS-native platform — designed to maintain trust and predictability as analytics scales with your product.

Instead of building it all yourself

You get a complete multi-tenant analytics platform that handles the infrastructure, security, data, APIs, and embedded experience.

Instead of forcing every tenant into the same model

You can support tenant-specific data models, permissions, dashboards, and reporting needs.

Instead of stitching together BI, warehouses, and custom code

You get one platform designed to deliver customer-facing analytics inside SaaS products.

Instead of creating long-term maintenance debt

Your engineering team can focus on your core product while Qrvey supports the analytics layer.

Build in-house

Use Qrvey

Re-implemented per feature; gaps compound as the product evolves.

Multi-tenant security, native · enforced once at the platform layer.

Stitch ETL, warehouse queries, and custom transforms — own all of it forever.

Built-in data engine · multi-source, synced + live, tenant-aware.

Rebuild governance with every new feature; “self-service” becomes a support ticket.

Governed customer autonomy · explore inside guardrails you set.

Manual dashboard copy-paste between environments; per-tenant config drift.

Built-in lifecycle management · versioned across dev, test, prod, per-tenant.

Hand-roll the embed layer, the auth, the theming, and the analytics SDK.

JavaScript components & comprehensive APIs · framework-compatible, token-based, white-labeled.

A second product your team must staff, scale, and rebuild every few years.

Vendor-supported analytics layer · engineering stays on your core product.

Multi-tenancy isn't all built the same. See what to ask vendors.See the evaluation guide ->

06THE PROOF

From a SaaS team running Qrvey in production

What they say when we're not in the room.

Read the CrowdChange case study ->

The team at Qrvey made it very easy to learn how handling multi-tenancy would work. The documentation and structure were simple to follow, and when we had questions, they were clarified quickly so we could just get to work and get it done. That was really important, and it was just simple to follow and understand.

Jared Allen

VP of Partner Success & Product Development · CrowdChange

07ENTERPRISE READINESS

Built for the questions procurement actually asks

Built for the security, scale, and control
SaaS companies require.

Tenant security, deployment control, and operational scale — treated as platform capabilities, not configuration.

Qrvey is designed for SaaS teams that need to deliver analytics across many customers while maintaining control over data access, deployment, and infrastructure.

Self-hosted in your VPC by default, so customer data and permissions stay inside the security perimeter your application already enforces. Same posture, broader capability.

✓

Multi-tenant security and permissionsTenant scopes plus row, column, object, and feature-level policies — defined once, enforced across dashboards, reports, AI, and APIs.

✓

Cloud deployment optionsSelf-hosted in your VPC by default. Fully managed SaaS deployment available for teams that prefer it. AWS and Azure supported.

✓

Tenant-aware data securityEach customer's data stays scoped to their tenant — automatically, on every request. No “remembered to add the tenant filter” failure mode.

✓

API-driven integrationComprehensive APIs for tenants, users, content, and policies — so analytics provisioning fits inside your existing customer onboarding workflows.

✓

Built-in data managementA built-in data engine prepares, syncs, and serves customer-facing analytics data — no separate warehouse pipeline to staff and maintain.

✓

Scalable embedded analytics deliveryConcurrency designed for the tenant counts and load SaaS products actually run — without per-tenant infrastructure to provision.

See multi-tenant analytics in action.Book a demo ->

— Talk to an analytics expert, not a BDR —

Multi-tenant analytics shouldn't become
your second product.

Get multi-tenant security, governed data access, lifecycle controls, and embedded analytics in one SaaS-native platform.

Book a demo →

Runs in your cloud, not ours