Looker
Looker is a modern business intelligence software providing a unified data model and real-time exploration tools to help you turn complex database information into actionable business insights.
Qrvey
Qrvey is a multi-tenant analytics platform designed specifically for SaaS companies to embed white-label dashboards, self-service reporting, and data automation directly into their own software applications.
Quick Comparison
| Feature | Looker | Qrvey |
|---|---|---|
| Website | looker.com | qrvey.com |
| Pricing Model | Custom | Custom |
| Starting Price | Custom Pricing | Custom Pricing |
| FREE Trial | ✓ 0 days free trial | ✘ No free trial |
| Free Plan | ✘ No free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2012 | 2015 |
| Headquarters | Santa Cruz, USA | Tysons, USA |
Overview
Looker
Looker helps you explore and analyze your data through a centralized, governed lens. Instead of dealing with fragmented reports, you use a unique modeling language called LookML to define your business logic once and apply it across your entire organization. This ensures everyone works from a single version of the truth, whether you are building complex dashboards or performing ad-hoc data discovery.
You can integrate your data directly into your daily workflows by sending alerts to Slack or triggering actions in other applications. The platform is designed for data-driven teams in mid-market and enterprise companies who need to scale their analytics without losing consistency. By connecting directly to your SQL database, it eliminates the need for data extracts and provides real-time visibility into your business performance.
Qrvey
Qrvey is an embedded analytics solution built specifically for SaaS companies that need to offer powerful reporting to their own customers. Instead of building a custom analytics engine from scratch, you can integrate this platform to provide white-labeled dashboards, data visualizations, and automated workflows directly within your application. It handles the entire data pipeline from ingestion and transformation to visualization, allowing your engineering team to focus on core product features rather than complex BI infrastructure.
You can connect to various data sources, including NoSQL databases like MongoDB and relational systems, to create a unified data layer. The platform is designed for multi-tenant environments, ensuring that each of your customers only sees their own data while enjoying a seamless, native-feeling experience. By using its serverless architecture on AWS, you can scale your analytics capabilities automatically as your user base grows without managing backend servers.
Overview
Looker Features
- LookML Modeling Define your business metrics once in a centralized layer so every department stays aligned on the same data definitions.
- Real-time Dashboards Create live, interactive visualizations that update instantly as your underlying database changes—no manual refreshes required.
- Embedded Analytics Deliver data insights directly within your own applications or websites to provide value to your customers and partners.
- Data Actions Take immediate action on your insights by triggering workflows in external tools like Salesforce or Zendesk directly from Looker.
- Git Integration Manage your data models like code with built-in version control, allowing your team to collaborate safely on complex analytics.
- Looker Blocks Jumpstart your analysis with pre-built code patterns for common data sources like Google Ads, Salesforce, and Snowflake.
Qrvey Features
- White-Label Dashboards. Customize the look and feel of your analytics to match your brand perfectly for a native user experience.
- Self-Service Reporting. Give your users the power to create their own custom reports and charts without needing technical support.
- Multi-Tenant Security. Manage complex data permissions easily to ensure your customers only access their specific datasets securely.
- Data Automation. Trigger automated actions and alerts based on data changes to help your users respond to insights instantly.
- Embedded Data Lake. Unify data from multiple sources into a high-performance layer optimized specifically for fast analytical queries.
- Serverless Architecture. Scale your analytics automatically on AWS infrastructure to handle spikes in usage without manual intervention.
Pricing Comparison
Looker Pricing
Qrvey Pricing
Pros & Cons
Looker
Pros
- Centralized modeling ensures data consistency across teams
- Powerful drill-down capabilities for deep data exploration
- Seamless integration with the Google Cloud ecosystem
- Highly customizable visualizations for complex reporting needs
- Strong community support and extensive technical documentation
Cons
- Requires knowledge of LookML for initial setup
- Pricing can be high for smaller organizations
- Steep learning curve for non-technical administrators
- Performance depends heavily on your underlying database
Qrvey
Pros
- Built specifically for multi-tenant SaaS requirements
- Eliminates the need to build complex internal BI
- Handles unstructured data better than traditional BI tools
- Predictable pricing model doesn't charge per end-user
Cons
- Requires AWS environment for optimal deployment
- Initial technical setup requires dedicated engineering resources
- Documentation can be dense for non-technical users