Data as a Service Platform
Democratize data for everyone while maintaining data security.
Empower users to configure their own datasets for personalized reporting powered by multi-tenant data security.

TRUSTED BY LEADING SAAS COMPANIES


THE PROBLEM
It usually requires technical staff to build datasets leaving end users frustrated by the amount of time it takes to get data for reporting and businesses end up spending too much.

THE SOLUTION
Using Qrvey’s native data APIs, engineering and product teams can build self-service interfaces that enable users to build their own datasets for personalized analytics powered by a multi-tenant data lake.

Fast Time to Insight
Streamline the data analysis process, helping users discover trends and gain insights from data faster than ever.

Scalable
DaaS solutions are highly scalable, allowing users to access more data powered by multi-tenant security.

Ease of Use
Personalize the design for user-friendliness without extensive technical expertise to navigate the data.

Accessible
Make data available from anywhere, empowering remote teams and facilitating real-time data analysis.

CUSTOMER STORY
A large tech company in risk management software leverages build-your-own datasets to set itself apart from the competition.
Customizable Reporting Starts with Customizable Datasets
Speed up decision making with scalable data delivery

Unified Data Pipeline
Qrvey takes the complexity out of data management. Our unified data lake specifically for analytics makes it easy to consolidate multiple data processing pipelines into one.
Built-in data connectors to popular data warehouses
Sync data or connect to live data
Ingest structured, semi and un-structured data types
Built-in data transformations to speed up processing time


Data Lake
By including a data lake, Qrvey ensures your data is optimized for multi-tenant analytics giving you both scale and security.
Built-in semantic layer for user permissions
Scalable to billions of rows of data
Row / column level security


Data APIs
Native data APIs enable you to configure datasets using API endpoints so UX can design interfaces that match your application.
Create and manage datasets via API
Configure row / column level security with APIs
Export raw or aggregate data in various formats
Respects user / tenant level security


REVIEWS FEATURED ON G2





Analytics for Those Who Want More
Build Less Software. Deliver More Value.
More Insights
Why is Multi-Tenant Analytics So Hard?
BLOG
Creating performant, secure, and scalable multi-tenant analytics requires overcoming steep engineering challenges that stretch the limits of...
Pricing Strategies to Maximize Revenue from Analytics
GUIDE
Unlock the full potential of your SaaS business with our comprehensive guide on pricing and packaging strategies.
How JobNimbus deployed Qrvey to 6,000 customers
CASE STUDY
Discover how JobNimbus deployed Qrvey to 6,000 customers and saw an immediate reduction in customer churn....
FAQs About DaaS (Data as a Service)
Within a multi-tenant SaaS platform, a Data as a Service (DaaS) function provides a way for tenants (customers) to securely access, analyze, and potentially even share their own data.
Scalability and Cost-Efficiency
By leveraging the multi-tenant architecture, the DaaS function offers scalability and cost-efficiency for tenants. The underlying infrastructure scales automatically to meet the needs of all tenants, and the cost of maintaining the infrastructure is shared among all.
Self-Service Analytics
DaaS empowers tenants to analyze their data independently, reducing reliance on IT for data extraction and reporting. This fosters a more data-driven culture within the tenant organization.
Data Security
Multi-tenant SaaS platforms prioritize data security. The DaaS function inherits these security measures, ensuring tenant data is protected through encryption, access controls, and compliance with relevant regulations.
At Qrvey, data security is paramount. Our self-hosted deployment model keeps your data within your cloud environment.
Furthermore, we layer on robust access controls, encryption, and user authentication to guarantee only authorized users can access specific datasets.
Data Storage
The DaaS function securely stores each tenant’s data within the platform.
Data Access Control
Granular access controls ensure that tenants can only access and analyze their own data, preventing them from seeing information belonging to other tenants. This is critical in a multi-tenant environment.
Data APIs
The DaaS function offers APIs (Application Programming Interfaces) that allow tenants to programmatically retrieve, manipulate, and analyze their data. This empowers developers to build custom applications or integrations tailored to their specific needs.
User Interfaces
The platform may also provide user-friendly interfaces that enable tenants to explore and analyze their data visually, without requiring them to write code. This allows business users to gain insights from their data without depending on IT support.