A modern business intelligence, embedded analytics, and data application platform
Improve decision-making with intelligent data access
Looker’s data model provides a fresh, consistent, and governed real-time view of your data, from across multiple clouds, to your entire organization.
Build data-rich experiences that go beyond BI
Build richer applications with embedded analytics faster and with less code by embedding Looker into your applications, products, or internal portals, using Looker’s SDK, APIs, and Looker Blocks.
Smart insights where you work
Fast, proactive insights embedded in the places you work power better business decisions. Looker allows you to provide insights at the right time and place through proactive alerts and deep integrations.
Discover how to log into Looker, personalize your profile, and use Looker features to add value to your organization with instructional videos and quick start pages.
Find and organize content: 60-second overview
See how to find reports and dashboards that are available in your organization, how to organize them using folders and boards, and how to delete unused content.
Send and share content: 60-second overview
Find out how to share, import, and embed data and dashboards with users and applications—on-demand or at scheduled times. And see how to set alerts.
Exploring data in Looker
Discover how to build queries and run a Quick Start analysis to display results, and see how to refine insights by adding and modifying filters and other options.
Creating and customizing dashboards
See how to build and modify dashboards. Detailed instructions describe how to add tiles, text, data actions, and filters—and improve dashboard performance.
Learn these basic concepts before you start development
Make the most of your data, time, and tools by seeing how to use LookML to create and edit projects; SQL Runner to access databases; and Git for version control.
Create custom experiences by writing code with LookML
Explore basic through advanced LookML features and development strategies, including LookML’s parameters and instructions for using them to create projects.
Build apps, workflows, and embedded analytics with Looker
Discover how to use Looker’s API and extension framework to create apps and automated workflows, and explore how to embed Looker visualizations in sites and apps.
Set up and administer the Looker platform
Discover how to install a hosted or self-managed instance of Looker, how to connect a database, and how to use other Looker features that help administrators.
Empower business users, data analysts, and developers to innovate with data
Realize greater value from data by using it to power decisions, increase efficiency, and deliver better customer experiences with modern business intelligence. Empower non-technical staff with self-service, real-time insights while maintaining access controls. Break free from siloed analytics and instead give your users comprehensive insights into governed data via dashboards and visualizations that align with your BI modernization strategy.
Deliver modern data experiences faster and generate new revenue streams by embedding analytics into apps and sites. Give users the information they need, when and where they need it. Accelerate time to value by having teams use existing data warehouses, data pipelines, Looker analytics, and one data model rather than building them from scratch. Streamline collaboration and save time with Git version-control.
Increase agility and maximize ROI by running your apps and workloads on your choice of clouds and databases. With Looker, you can create insights and automate processes with data regardless of where it is. Power data experiences from Google Cloud and/or on-premises systems—and with data stored in BigQuery and other databases. Develop a flexible multicloud strategy by measuring cloud usage and costs.
Drive growth and create new revenue streams with your governed data by accelerating time to market of data-centric apps. Stay focused on building great user experiences with Looker APIs and SDKs, Blocks, Actions, and extensions that streamline or even take care of tedious tasks. Enlist Looker to manage authentication and hosting. Monetize your data where it resides. Embed your Looker visualizations and dashboards into products and workflows.
APIs & libraries
Looker Blocks help teams quickly get up and running with Looker dashboards and data explorations. Looker has worked with experts from customers, partners, and Google to build Blocks that accelerate time to value across different data sources, use cases, and analytical needs. There are a wide range of Looker Blocks for Google Analytics 360 and Salesforce, to public weather and census data, to Contact Center AI and cross-cloud billing.
Minimize manual steps and automate operational workflows with ready-to-use integrations in Looker Actions or build your own custom Actions. Enable users to act on data right from Looker without switching between applications so that they get quick and actionable value from the data when and where they need it. Work smarter by sending your governed data to other systems to trigger workflows and automate tasks via Looker integrations and insights.
Drive efficiency and growth. Augment Google’s horizontal and industry solutions with Looker Blocks and Actions. Increase insights with out-of-the-box dashboards and data exploration environments that integrate with services such as Google Analytics 360, Cloud Billing, Contact Center AI, and Chronicle Security. Leverage your first-party data to target ad spend with Actions for Ads via Customer Match and Google Analytics via Data Import.
Google Cloud basics
Learn more about Looker Blocks and other Looker features
|Looker Blocks and Actions||Looker Blocks and Actions are prebuilt pieces of code that can accelerate the development of analytics, insights, workflows, and apps. Looker Blocks include optimized SQL patterns, data source connections, pre-modeled external data, customized analytics, interactive visualizations, and embedding capabilities. Actions can add capabilities from third-party tools—such as Slack and Marketo—to Looker.|
|Looker extension framework||Looker extension framework is a fully hosted development platform that enables developers to build a data-powered application, workflow, or tool right in Looker, that can eliminate the need to spin up and host infrastructure. The extension framework can save developers time by taking care of some steps in building web applications including authentication, access control, and API access.|
|Looker alerts||Looker alerts are configurable actions that can automatically check specific data at specific time frequencies. If the data meets the conditions that the administrator or authorized user specifies—including a specific value, percent of change, or time value—Looker can automatically send an alert via email or Slack notification to named individuals.|
|Looker security||Looker security provides authentication, access controls, and data governance capabilities that can help with GDPR, HIPAA, and SOC 2 Type 2 compliance. AES 256-bit encryption helps secure database connection credentials and cached data stored at rest. TLS 1.2 can encrypt network traffic between users’ browsers and Looker. Administrators can control data access to databases, rows and/or columns.|
|Looker components||Components are pieces of Looker user interface code that developers can use to create intuitive applications and extensions. Filter components enable developers to include Looker filter controls—such as sliders, tag lists, and radio buttons—in applications and embedded dashboards. Components can decrease application maintenance and overhead, simplify development, and enhance data experiences.|
|Looker mobile app||Looker’s native mobile app for iOS and Android can give content consumers on-the-go access to their data in any one of 22 possible languages. Share your content with others and transition between your desktop and mobile device when viewing emails and chats. Log in options include QR code access and biometric authentication to help with security.|
|Persistent derived tables (PDTs) and incremental PDTs||Standard PDTs are tables that Looker writes to the scratch schema of a database that can intelligently query the smallest possible dataset. Doing so can reduce database load and speeds query performance. Incremental PDTs are useful for large data sets. They allow data teams to append fresh data to the PDT without triggering a table rebuild. PDTs are foundational for Looker’s aggregate awareness.|
|Looker multicloud support||Looker multicloud support facilitates data experiences. Run Looker natively on Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform. Connect Looker to data in your cloud(s) including on-premises systems, Azure, AWS, and Google Cloud Platform. Additionally, Looker supports more than 60 distinct database dialects and over 60 SQL dialects.|