Cloud native analytics platform

Deploy Analytics In Your Cloud(s)

Qrvey’s cloud native architecture delivers the control, flexibility, and performance you need to embed analytics without compromise.

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embedded analytics software

The cloud native analytics platform built for SaaS

Run analytics in your cloud environment securely, seamlessly, and at scale.

Qrvey Takes the Pain Out of Multi-Tenant Data Preparation

Qrvey’s cloud native analytics platform includes the necessary components to turn your database into a multi-tenant analytics data lake.

Qrvey analytics layer

For a SaaS business like yours, architecture matters.

General‑purpose BI platforms weren’t designed for SaaS. They force workarounds, inflate costs, and slow innovation. Qrvey solves these challenges with a modern, cloud native architecture that scales effortlessly and integrates deeply with your application.

Multi‑Cloud, Kubernetes‑Based Deployment

Deploy Qrvey in AWS or Azure (GCP coming soon!)—right alongside your SaaS application. Our containerized architecture uses Kubernetes and serverless services for elastic scaling, high availability, and cost efficiency.

Benefits:

  • Full control over data residency and compliance
  • Zero‑downtime upgrades with blue/green and canary strategies
  • Multi‑region support for global SaaS deployments

Native Multi‑Tenant Security

Qrvey’s assert‑based security model enforces row‑, column‑, and schema‑level isolation across tenants. Your application’s roles and permissions flow directly into Qrvey—no duplication, no compromise.

Benefits:

  • Secure self‑service across thousands of tenants
  • Co‑mingled or segregated data models supported
  • Governance without complexity

Integrated Analytic Data Engine

Qrvey includes a high‑performance analytic engine with built-in transformation capabilities for structured and semi-structured data. Choose Qrvey Ultra for full data management or Qrvey Pro to leverage your existing warehouse.

Benefits:

  • Faster queries without external dependencies
  • Lower TCO vs. semantic‑layer‑only platforms
  • Standards‑based SQL and API access for flexibility

Tenant‑Aware Self‑Service & Embedding

Empower customers to build dashboards, customize datasets, and automate workflows all inside your app. Qrvey embeds via modern web components (not iframes) and exposes full APIs for automation.

Benefits:

  • Seamless UX that feels native
  • Complete control over branding and customization
  • Scalable operations with API‑driven provisioning

Environment Management & Zero‑Downtime Releases

Move fast without breaking things. Qrvey supports multi‑environment workflows with built‑in content migration and CI/CD integration.

Benefits:

  • Promote content from dev to prod with confidence
  • Roll back safely when needed
  • Keep analytics aligned with your release cycles

AI at the Core with Qrvey MCP Server

Qrvey’s architecture is built for the AI era. The MCP Server (Model Context Protocol) orchestrates secure, tenant-aware AI across your analytics environment—enabling natural language assistants, agent-driven automation, and seamless integration with your choice of LLMs.

  • Tenant-scoped AI: Every interaction is governed and isolated for security.
  • Bring your own models: Integrate OpenAI, Gemini, Claude, Cohere, or custom LLMs.
  • Actionable intelligence: Go beyond ‘answers.’ Let AI trigger workflows and automate insight-to-action.


Qrvey delivers real AI—securely, at scale, and ready for what’s next.

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Get the best of the cloud with Qrvey’s cloud native analytics platform

Only Qrvey gives your product team the best of the cloud with a container-based analytics solution, deployed to your cloud for maximum security and control.

Scalability of the Cloud

Qrvey combines on-demand services into a single, multi-tenant analytics solution that empowers developers to ship faster and focus more on their core capabilities.

Security of Deployed

Your data never leaves your cloud as Qrvey is a deployed analytics solution. You are always in total control of your data and your infrastructure.

Cost Efficiency for SaaS

By intelligently combining on-demand services and container technology, you can lower your infrastructure cost while maximizing enterprise-grade scalability.

How It Works

Optimize Your
Snowflake Costs

Qrvey provides a better way to query data for analytics. Using Qrvey for an analytics data store instead of Snowflake can drastically reduce your bills.

Calculate Your Snowflake Savings

See what our partners have to say

Herman Haynes
CIO @ Global K9 Protection Group

Adding Qrvey to our business was like turning on a light switch.

Ryan Quackenbush
Senior PM @ JobNimbus

We can’t speak highly enough of the stellar team at Qrvey. Within months of deploying Qrvey, JobNimbus achieved 70% adoption among large
enterprise users.

Dadou Jahanbani
CTO @ Impexium

Qrvey allowed Impexium to go to market quickly and get analytics into the hands of our customers.

Srinivasa Sridharan
CTO @ Setvi

Excellent product and customer support.
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FAQs About Cloud-Native Analytics

What is cloud-native analytics?

Cloud-native analytics is a modern approach to data analysis that leverages the power and flexibility of cloud computing. Cloud-native analytics solutions are built using microservices, APIs, and serverless technologies that can scale on demand, integrate with any data source, and offer low-cost and high-performance benefits.

Read our guide on what is cloud native analytics.

Qrvey uses container technology to deploy its on-demand embedded cloud-native analytics platform directly within your cloud environment. 

This means that you have full control and ownership of your data, security, and infrastructure, while also enjoying the advantages of Qrvey’s analytics features and capabilities.

Deploying software using containers offers several benefits that align well with the needs of SaaS companies and their focus on embedded analytics and self-service analytics. Here are some key advantages:

Portability: Containers ensure that applications can run consistently across different computing environments. This means you can write your application once and deploy it anywhere, which is crucial for SaaS platforms that need to operate on various infrastructures.

Efficiency: Containers are more resource-efficient than traditional virtual machines (VMs), allowing for better utilization of compute resources. This efficiency is particularly beneficial for analytics applications that may require significant processing power.

Agility: The use of containers can integrate seamlessly with existing DevOps practices, enhancing the agility of development teams. This allows for quicker iterations and deployments of analytics features within your product.

Scalability: Containers can be easily scaled up or down, making them ideal for SaaS applications where demand can fluctuate. This ensures that your analytics services can handle peak loads without unnecessary resource expenditure.

Fault Tolerance: With containers, if one part of your application fails, it doesn’t bring down the entire system. This isolation improves the overall resilience and availability of your analytics services.

Speed: Containers can start up much faster than VMs, which is essential for deploying updates or new features quickly, keeping your analytics capabilities at the cutting edge.

Security: By isolating applications from the host system and from each other, containers can offer improved security, which is paramount for protecting sensitive analytics data.

Qrvey allows SaaS companies to create richer products and bring them to market faster, while lowering development costs. Qrvey provides a no-code solution for embedded analytics exclusively built for SaaS applications, with customizable and interactive dashboards, charts, reports, and more.

Qrvey also offers built-in data management for multi-tenant analytics, and content deployment tools to simplify the analytics lifecycle.

  1. You can get started with Qrvey by requesting a demo or signing up for a free trial.
  2. Qrvey will help you set up your cloud account and deploy Qrvey into your environment.
  3. You can then connect your data sources, create and embed analytics, and explore Qrvey’s features and functionality.

See Qrvey in Action

Learn about Qrvey’s embedded analytics platform and get quick answers to your questions by booking a guided product tour with our experts. 

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