Data and analytics evolved
At Looker, we believe better decisions happen when everyone can access the right data the right way. BI and data visualization solutions were initially designed to build reports and dashboards. Delivering data experiences that support all the ways modern organizations make decisions requires a new approach.
Looker’s data platform goes beyond BI to help organizations deliver impact through data experiences that fit the way people work. Looker integrates seamlessly into business workflows, embeds into third-party systems, and enables companies to build their own data applications. All while delivering world-class business intelligence capabilities.
The Looker platform unlocks the value of your data to deliver insights with impact and create data experiences tailored for every part of your organization. Business executives, data analysts, application developers, data scientists, customers, and business partners. Anyone who needs data to do their jobs can benefit from Looker capabilities.
Looker delivers data experiences
Business Intelligence
Simplify the creation of reports and dashboards and avoid stale data and siloed approaches to business logic with enterprise-class BI.
Embedded Analytics
Tap into the value of your data. Embed data, visualizations, and insights right where users need them to improve efficiency and decision making.
Applications
Build a full spectrum of data experiences. Or choose from a range of pre-packaged applications to deliver purpose-built, plug-and-play experiences.
Data Delivery
Schedule and automate the distribution of reports, insights, data sets, and query results on common formats and platforms. Send alerts and updates when something changes.
Workflow Integration
Use pre-built integrations in seconds, or build your own using Looker’s robust APIs. Support data science and other advanced analytics workflows.
Looker allowed us to scale and trust that people are making decisions on accurate data.
- Sean Bave, General Manager and VP
StackOverflow
The Looker Data Platformdata wherever you need it—across the web, on your mobile device, and right in your existing workflows |
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Old Way |
The Looker Platform |
| Data consumers have limited, confining ways to access data. Data is not available in-workflow, and users must log in to the analytics tool to open reports and dashboards | Tailored data experiences. Embedded analytics to share data anywhere. Seamless integration with existing workflows and 3rd-party tools. Use data the way your organization needs to with robust APIs |
| Data teams focused on building reports and dashboards. Spend your resources on ad-hoc requests, not strategic initiatives | Data teams curate interactive data experiences, allowing users to build their own reports and dashboards |
| Data teams waste hours extracting data for analysis. Cubes and extracts quickly become stale and need frequent updating | In-database architecture and automated data delivery eliminate repetitive data extraction tasks. Users always see data that is fresh |
| Isolated approaches to metrics and business logic. No governance of metrics and KPIs built into the system. Data chaos | Unified, governed, and clear metrics make data analysis easy. All users inherit updates made to metrics or underlying data |
Compare business intelligence tools
Compare top business intelligence tools and features and see why Looker stands out.
Tableau vs. Looker
Tableau is optimized for in-memory data extracts, which, over time creates management and governance challenges. Looker’s centralized, agile modeling layer creates a trusted environment for all users to interact with — all without any data extraction.
Power BI vs. Looker
Power BI is a cloud offering, but can only be deployed in Microsoft’s own Azure public cloud environment, limiting future flexibility. Looker’s multi-cloud flexibility offers a modern cloud and on-prem SQL database solution future-proofs your data strategy.
Sisense vs. Looker
Sisense’s proprietary ElastiCube architecture creates cumbersome deployments as customers attempt to scale. Looker’s centralized modeling layer defines business rules that are accessible by all users and downstream processes.
MicroStrategy vs. Looker
MicroStrategy’s centralized semantic layer requires skilled IT resources, leading to bottlenecks and limited agility. Looker’s LookML centralized, accessible modeling layer lets more users collaborate.
Qlik vs. Looker
Qlik Sense and Qlikview require data to be extracted to a proprietary in-memory database. Looker’s centrally managed modeling layer promotes reuse of dimensions and measures as business rules only need to be defined once without extracts.
See it in action
A data-driven day: an intro to Looker as a business user
See how Looker works in an eCommerce company
Get a complete picture of your customer journey
