Turn Operational SaaS Data Into Analytics-Ready Data.
Transform transactional application data into analytics-ready data optimized for secure, multi-tenant, self-service analytics.
Qrvey's Data Management Layer helps SaaS teams connect, transform, secure, and optimize data for embedded analytics — without building and maintaining a separate analytics infrastructure.
Your product data wasn't built for analytics.
Most SaaS applications are designed for transactions, not analysis. Operational databases are optimized to create, update, and process records quickly. Analytics requires something entirely different: data that can be queried, aggregated, secured, and explored across millions of records and thousands of tenants.
As SaaS companies begin evaluating embedded analytics, many discover that the analytics platform isn't the first challenge. The data is.
- Highly normalized schemas that are difficult to analyze
- Data spread across multiple systems and databases
- Complex tenant-specific security requirements
- Slow query performance at scale
- Expensive data warehouse projects
- Separate tools that create additional operational overhead
Meet the Qrvey Data Management Layer.
Built specifically for multi-tenant analytics.
The Qrvey Data Management Layer provides the infrastructure SaaS teams need to transform operational application data into analytics-ready data. It is an end-to-end data solution that optimizes data for multi-tenant analysis.
Instead of stitching together separate tools for data movement, transformation, storage, security, and performance optimization, Qrvey delivers an integrated approach designed specifically for embedded analytics and self-service reporting.
Data Pipeline
Connect, synchronize, transform, and enrich data from databases, warehouses, APIs, files, and other sources. Prepare complex operational data for analytics with built-in tools for joining, blending, and shaping data across systems.
Data Lake
Store and optimize analytics-ready data in a high-performance environment built for multi-tenant workloads. Scale analytics efficiently while enforcing tenant-aware security, permissions, and entitlement rules.
APIs
Manage and automate every aspect of the data layer programmatically. Integrate data operations directly into your product workflows and development processes using comprehensive platform APIs.
The result is a complete analytics-ready data foundation that reduces engineering complexity, accelerates implementation, and enables secure, scalable self-service analytics — without requiring SaaS engineering teams to build and maintain a separate analytics infrastructure.
From operational data to analytics-ready data.
Connect to databases, data warehouses, cloud storage, APIs, files, and other SaaS data sources. Whether your data lives in PostgreSQL, MongoDB, Snowflake, Redshift, Databricks, or custom systems, Qrvey helps bring it together.
Transform operational data into analytics-ready datasets. Join data across systems, build custom transformations, create metadata definitions, define business logic, and prepare data structures optimized for reporting and self-service analytics.
Apply multi-tenant security and entitlement logic. Map users, tenants, roles, records, columns, and permissions to ensure every customer only sees the data they should see.
Scale for high-performance analytics. Qrvey optimizes storage, synchronization, and query performance so embedded analytics can support large volumes of data and demanding self-service use cases.
Everything you need to prepare SaaS data
for analytics.
Connectors + APIs
Connect to the systems where your data already lives, including databases, data warehouses, cloud storage, APIs, and file-based sources. When out-of-the-box connectors aren't enough, comprehensive APIs provide the flexibility to integrate virtually any data source.
Custom Transformations
Transform, enrich, join, blend, and reshape data across multiple systems to create analytics-ready datasets. Apply business logic, metadata definitions, calculations, formatting rules, and tenant-specific requirements before data reaches the analytics experience.
Data Lake
Store and optimize analytics-ready data in a multi-tenant environment designed for high-performance embedded reporting, dashboarding, AI-powered analytics, and self-service exploration. Scale efficiently across large datasets, growing customer bases, and demanding tenant-specific analytic workloads.
Semantic Layer
Create a centralized layer for business definitions, metrics, calculations, metadata, and reporting logic. Ensure dashboards, reports, AI experiences, and self-service analytics all operate from a consistent understanding of the data.
Multi-Tenant Security
Apply tenant-aware security, entitlement rules, and access controls directly within the data layer. Secure data at the tenant, user, record, column, and object levels while supporting complex SaaS security models.
Most embedded analytics platforms assume
your data is already analytics-ready. Qrvey doesn't.
Many embedded analytics solutions only connect to existing databases and warehouses. They assume you've already invested in the infrastructure required to prepare and manage analytics-ready data.
Qrvey gives you both options:
Use Your Existing Analytics Stack
Already built a comprehensive analytics warehouse in Snowflake, Databricks, Redshift, or another platform?
Connect directly to Qrvey and start delivering customer-facing self-service analytics.
Or Let Qrvey Handle It
Don't want to build and maintain a separate analytics infrastructure?
Use Qrvey's built-in data pipeline, storage, semantic layer, and multi-tenant security capabilities.
Designed for SaaS teams.
Deliver analytics-ready data that powers self-service experiences, customer retention, and monetizable analytics products.
Reduce the complexity of building and maintaining analytics infrastructure through APIs, automation, and purpose-built tooling.
Prepare, model, secure, and optimize data without managing a patchwork of disconnected technologies.
Access analytics built on data that is accurate, performant, and relevant to their business.
What they say when we're not in the room.
The flexibility and ease of use with Qrvey's platform allows us to satisfy any use case that our customers ask for. They are blown away all the time when we say “Sure, we can support this request. We will have this ready for you later today.” That directly helps our customers run more efficiently and deliver a better experience — so nothing falls through the cracks.
Stop building analytics infrastructure.
Get the data layer your embedded analytics strategy needs.
Connect data, optimize performance, enforce multi-tenant security, and prepare data for self-service analytics — all from a single platform.
Runs in your cloud, not ours