Google Looker
Google Looker is a modern business intelligence and data modeling platform that helps you explore, analyze, and share real-time business insights through a unified, governed data layer.
Mode
Mode is a collaborative data science platform that combines SQL, Python, and interactive data visualization to help your team perform deep analysis and share insights across your entire organization.
Quick Comparison
| Feature | Google Looker | Mode |
|---|---|---|
| Website | looker.google.com | mode.com |
| Pricing Model | Custom | Custom |
| Starting Price | Free | Custom Pricing |
| FREE Trial | ✓ 30 days free trial | ✓ 14 days free trial |
| Free Plan | ✓ Has 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 | 2013 |
| Headquarters | Santa Cruz, USA | San Francisco, USA |
Overview
Google Looker
Looker is a powerful data platform that changes how you access and use your company's information. Instead of relying on static reports, you can explore live data directly from your database using a centralized modeling language called LookML. This ensures everyone in your organization works from a single version of the truth, whether you are building complex visualizations or embedding analytics into your own custom applications.
You can create interactive dashboards that allow team members to drill down into specific metrics without needing technical expertise. The platform integrates deeply with Google Cloud but remains flexible enough to connect with various SQL databases across different cloud environments. It is designed for data-driven organizations that need to scale their analytics capabilities while maintaining strict governance and security over their data assets.
Mode
Mode is a collaborative analytics platform designed to help you bridge the gap between raw data and business decisions. By combining a powerful SQL editor with integrated Python and R notebooks, you can perform complex analysis without switching between different tools. You can build interactive visualizations and dynamic dashboards that allow your stakeholders to explore data and find their own answers through intuitive filters and parameters.
The platform is built for data-forward teams who need to move quickly from a query to a shareable report. It simplifies your workflow by centralizing your data definitions and providing a unified space for your analysts and business users to collaborate. Whether you are a high-growth startup or a large enterprise, you can use Mode to turn your data warehouse into a source of actionable intelligence for every department.
Overview
Google Looker Features
- LookML Modeling Define your business logic once in a centralized layer so every user gets consistent, accurate results across all reports.
- Embedded Analytics Inject powerful charts and data explorations directly into your own customer-facing applications or internal tools using flexible APIs.
- Real-time Dashboards Build interactive visual displays that update instantly as your database changes, giving you a live pulse on your business.
- Data Actions Take immediate action on insights by sending data directly to tools like Slack, Salesforce, or Zendesk from your dashboard.
- Multi-cloud Flexibility Connect to multiple SQL databases across AWS, Azure, or Google Cloud without moving your data from its original home.
- Looker Studio Integration Combine the governed data of Looker with the easy drag-and-drop report building of Looker Studio for faster sharing.
Mode Features
- Advanced SQL Editor. Write and execute complex queries quickly with autocomplete, snippets, and the ability to run multiple queries simultaneously.
- Integrated Notebooks. Switch to Python or R instantly to perform advanced statistical analysis or create custom visualizations on your SQL results.
- Interactive Dashboards. Build and share dynamic reports that allow your teammates to filter and explore data without writing any code.
- Visual Explorer. Create beautiful charts and graphs using a drag-and-drop interface that makes data exploration fast and intuitive for everyone.
- Helix Data Engine. Analyze up to 10GB of data in-memory so you can filter and pivot large datasets with lightning-fast responsiveness.
- Custom HTML Themes. Design bespoke reports using HTML, CSS, and JavaScript to match your brand or create unique data experiences.
Pricing Comparison
Google Looker Pricing
- 1 user included
- Google Cloud console access
- Looker Studio integration
- Basic data modeling
- Community support
- Everything in Free, plus:
- Up to 50 users
- Full LookML modeling
- Standard API access
- Email and chat support
- Embedded analytics capabilities
Mode Pricing
Pros & Cons
Google Looker
Pros
- Centralized data modeling ensures consistent metrics across teams
- Powerful drill-down capabilities for deep data exploration
- Excellent integration with the Google Cloud ecosystem
- Highly customizable for developers using LookML
Cons
- Steep learning curve for mastering LookML syntax
- Pricing can be high for smaller organizations
- Requires a clean underlying database for best performance
Mode
Pros
- Seamless transition between SQL and Python environments
- Fast in-memory processing for large datasets
- Easy sharing of reports via simple URLs
- Highly customizable reporting using web technologies
- Excellent collaborative features for data teams
Cons
- Higher price point than basic BI tools
- Requires SQL knowledge for initial setup
- Mobile experience is limited for complex reports