FullStory vs Looker
Detailed side-by-side comparison
FullStory
FreeFullStory is a digital experience analytics platform that captures and replays every user interaction on websites and mobile apps through pixel-perfect session recordings. It helps product, engineering, and support teams understand customer behavior, identify UX issues, and optimize user experiences through features like heatmaps, funnel analysis, and frustration signals.
Visit FullStoryLooker
FreeLooker is a business intelligence and data analytics platform built on a unique modeling layer (LookML) that connects directly to databases for real-time analysis. It enables organizations to explore data, create interactive dashboards, and share insights across teams with a focus on data consistency and governance through its Git-based version control system.
Visit LookerFeature Comparison
| Feature | FullStory | Looker |
|---|---|---|
| Primary Use Case | User experience analytics and session replay focused on understanding how customers interact with digital products | Business intelligence and data analytics focused on exploring organizational data and creating reports/dashboards |
| Data Visualization | Provides heatmaps, click maps, and session replays to visualize user behavior and interactions on websites/apps | Offers custom visualizations, interactive dashboards, and reports for business metrics and KPIs across all data sources |
| Search and Analysis | OmniSearch enables advanced search and segmentation to find specific user sessions based on behaviors, events, and frustration signals | Real-time data exploration without extracts, powered by LookML modeling layer that defines metrics and dimensions consistently |
| Data Source | Automatically captures user interaction data from instrumented websites and mobile applications | Connects directly to databases (SQL, BigQuery, etc.) to query and analyze existing business data in real-time |
| Integration Capabilities | Integrates with analytics tools, support platforms, and development tools to enhance customer support and product workflows | API-first architecture with embedded analytics capabilities and strong integration with Google Cloud ecosystem |
| Technical Requirements | Requires JavaScript implementation on websites/apps; may impact page load times if not optimized properly | Requires LookML expertise and dedicated resources for data modeling, implementation, and ongoing maintenance |
Pricing Comparison
Both tools offer free starter tiers but have premium pricing that can be expensive for smaller organizations. FullStory's costs scale with session volume and data capture, while Looker's enterprise pricing requires significant investment in both licensing and technical resources for implementation.
Verdict
Choose FullStory if...
Choose FullStory if you need to understand and optimize user experience on your website or mobile app, debug customer issues through session replay, or identify friction points in your digital product's interface.
Choose Looker if...
Choose Looker if you need enterprise-grade business intelligence to analyze organizational data across multiple sources, create consistent metrics for company-wide reporting, or embed analytics into your own products for customers.
Get Your Free Software Recommendation
Answer a few quick questions and we'll match you with the perfect tools
Select the category that best fits your needs
Pros & Cons
FullStory
Pros
- + Powerful session replay capabilities that capture every user interaction automatically
- + Intuitive search functionality makes it easy to find specific user sessions and behaviors
- + Excellent for identifying UX issues and debugging customer problems
- + Strong privacy controls and data governance features
Cons
- - Premium pricing can be expensive for smaller companies or startups
- - Large data capture can impact page load times if not optimized
- - Steep learning curve to fully leverage advanced features
Looker
Pros
- + Powerful data modeling layer ensures consistency across organization
- + Scalable architecture handles large datasets efficiently
- + Strong integration with Google Cloud and BigQuery
- + Reusable data definitions reduce redundancy
Cons
- - Steep learning curve for LookML
- - Premium pricing limits accessibility for small businesses
- - Requires dedicated resources for implementation and maintenance