New Features

Personal, practical experiences: new applications, visualization capabilities and workflow integrations deliver more value faster

Flexible and scalable analytics platform: new analyst tools, embed customization and APIs for efficiency and adaptability

Easy to own and deploy: enterprise-class offerings, plus new support and service resources to help throughout your journey

Leverage machine learning at scale and free up time to focus on higher-value analysis

Reduce complexity by eliminating the need to move outputs of predictive models back into the database

Move from data to decisions faster by leveraging industry-leading analytic technologies to take action instantly

Send your largest datasets directly to your machine learning tools of choice via Stream Results

Federate your model outputs alongside data from any connected source via Merged Results

Integrate directly with best-of-breed solutions via the Looker R SDK, Python connections or our integration with TensorFlow

Select a visualization from the Looker library, or build your own

Enhance your visualizations with elegant details from trend lines to conditional formatting

Pop your visualization onto a dashboard and start building schedules, set alerts, and more!

Our new homepage intelligently suggests dashboards and data content to surface to users based on a variety of factors

Looker admins can curate sections on the homepage to display content everyone sees

Jump back into the action and stay in the know with sections that surface recently viewed content by yourself and your group

Add valuable context to your business’s data instantly, with pre-modeled external datasets

Identify how weather impacts your user’s activity down to the ZIP code level, or discover new market opportunities using granular demographic data from the US Census

Access these live datasets via Amazon S3 or Google Cloud Platform instantly, or ETL them into your data warehouse

Looker’s released a powerful new feature for version control that allows users to build out new additions to their data model without fear of breaking the model for anyone else

Looker users can now create branches off an existing Looker project, giving them the power to easily manage changes to multiple different projects

Teams can collaborate and get feedback on changes more easily by viewing and working together on the same branch of code

Looker 5 upgrades the Looker platform with a custom visualization library, tools to create curated experiences for end-users, and pre-modeled datasets you can easily combine with your data

Take action on insights gleaned from data in Looker by selecting from one of many integrations from Looker’s Action Hub

Visualize your SQL queries right from Looker’s powerful new SQL Runner for ad-hoc analysis

Surface metadata from your AWS and Amazon Redshift usage on beautiful, intuitive Looker dashboards with Looker Blocks™

Leverage Looker’s functionality to drill into and explore your usage down to the query and event level to uncover patterns

Take advantage of custom Looker features like customized alerts, and data actions to control your Amazon Redshift and AWS usage directly from Looker

Learn more from the our AWS Optimization Suite Solution Sheet

Looker is the first and only data platform that ties all of your data systems together

Data collection, ETL, data imports, etc. generally exist in their own world and run at their own times

Line everything up so all your systems are always running on the freshest data possible while putting the least amount of strain on your database

Looker has added new capabilities to its already industry-leading saving & scheduling features

Maintain a single report or dashboard and schedule personalized versions to be sent to different people and teams

Programmatically personalize reports and dashboards for each recipient based on customizable attributes

Use the new funnel visualization to better understand drop-off rates between different stages of your funnel — whether it’s shopping cart to check-out or free-trial to close

Monitor how different groups of events happened over time — be it staffing coverage or customer sessions — with the new timeline visualization

Looker allows you to account for for different data being logged in different time zones at different times in your model

New features allow time zones to be customized on the front end to reflect user time zone, query origin time zone, or any other time zone someone wishes to use

Looker transforms your data at the time of query so it naturally handles time zones better

Send data to Segment and a number of their supported Integrations like Marketo, Hubspot, and Mailchimp directly from the Looker UI

Act on your data with your favorite marketing tools automatically from Looker — no more manually uploading and downloading CSVs

Combine disparate data sources in Looker and define custom User Cohorts to identify Upsell opportunities, and Win-back campaigns

Start exploring the data in your database right away from an intuitive, point-and-click interface

Don’t stress your laptop. Looker lets you explore data seamlessly in the cloud, leveraging your database to understand your data

Share insights as you explore new datasets. Collaboration is as easy as copying and pasting a URL

Looker 4.6 supports Amazon Athena, the new S3 querying service from AWS

Amazon Athena automatically executes queries in parallel, so most results come back within seconds

Looker leverages Athena directly via the JDBC driver, so you don’t lose any speed

Looker, which focuses on actually getting value from data, is a perfect match for Athena, which is all about making S3 datalakes valuable

Browse dozens of Looker services, industry-leading analysis patterns, and partner integrations, all in one centralized location

Search and filter by industry and use-case to identify the blocks that can accelerate your business

Learn from some of the today’s most advanced companies and adopt the blocks they’re already using

Follow modeling and analytics best-practices, developed throughout thousands of customer implementations