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Looker

Looker

Overview

What is Looker?

Looker is a BI application with an analytics-oriented application server that sits on top of relational data stores. It includes an end-user interface for exploring data, a reusable development paradigm for data discovery, and an API for supporting data in…

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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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Pricing

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What is Looker?

Looker is a BI application with an analytics-oriented application server that sits on top of relational data stores. It includes an end-user interface for exploring data, a reusable development paradigm for data discovery, and an API for supporting data in other systems.

Entry-level set up fee?

  • Setup fee required
For the latest information on pricing, visithttps://cloud.google.com/resources/look…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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What is SAP Crystal?

SAP Crystal is an analytics and reporting software solution for SMBs. SAP Crystal comprises Crystal Reports for pixel-perfect reporting, and SAP Crystal Server for automated distribution and self-service access to reports, dashboards and data exploration.

What is SAP Lumira Discovery?

SAP Lumira Discovery is SAP’s data visualization and discovery application. It facilitates data discovery, visualization, and analysis by assisting users with creation of dashboards, infographics, presentations, data facets, tag clouds, and more.

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Product Demos

How To Use Looker as a Business User

YouTube
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Features

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

8
Avg 8.2

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

8.1
Avg 8.0

Report Output and Scheduling

Ability to schedule and manager report output.

8.5
Avg 8.3

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

6.7
Avg 7.9

Access Control and Security

Access control means being able to determine who has access to which data.

8.3
Avg 8.5

Mobile Capabilities

Support for mobile devices like smartphones and tablets.

5.8
Avg 7.8
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Product Details

What is Looker?

Looker, Google Cloud’s business intelligence platform, enables users to chat with data. Organizations are given self-service and governed BI to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment.


Looker vs. Looker Studio


Looker Studio is a part of Google's Looker Suite for business intelligence. Looker Studio is a self-serve BI solution where less technical users can create charts and reports, while Looker is a complete, enterprise BI platform, where technical users can build complex models that consider every aspect of the business. Looker Studio offers both free and pro versions, while Looker is not available for free. Looker and Looker Studio integrate with each other to support both types of analysis at businesses.

Looker Features

BI Platform Features

  • Supported: Administration via Web Interface
  • Supported: Live Connection to External Data
  • Supported: In-memory data model
  • Supported: Multi-Data Source Reporting (Blending)
  • Supported: Data warehouse / dictionary layer

Supported Data Sources Features

  • Supported: Oracle
  • Supported: MS SQL Server
  • Supported: IBM DB2
  • Supported: Postgres
  • Supported: MySQL
  • Supported: Cloudera Hadoop
  • Supported: Hortonworks Hadoop
  • Supported: EMC Greenplum
  • Supported: IBM Netezza
  • Supported: HP Vertica
  • Supported: ParAccel
  • Supported: SAP Hana
  • Supported: Teradata
  • Supported: Sage 500
  • Supported: SAP

BI Standard Reporting Features

  • Supported: Pixel Perfect reports
  • Supported: Customizable dashboards
  • Supported: Report Formatting Templates

Ad-hoc Reporting Features

  • Supported: Drill-down analysis
  • Supported: Formatting capabilities
  • Supported: Integration with R or other statistical packages
  • Supported: Report sharing and collaboration

Report Output and Scheduling Features

  • Supported: Publish to Web
  • Supported: Publish to PDF
  • Supported: Output Raw Supporting Data
  • Supported: Report Versioning
  • Supported: Report Delivery Scheduling

Data Discovery and Visualization Features

  • Supported: Pre-built visualization formats (heatmaps, scatter plots etc.)
  • Supported: Location Analytics / Geographic Visualization
  • Supported: Support for Machine Learning models
  • Supported: Integration with R or other statistical packages

Access Control and Security Features

  • Supported: Multi-User Support (named login)
  • Supported: Role-Based Security Model
  • Supported: Multiple Access Permission Levels (Create, Read, Delete)
  • Supported: Report-Level Access Control
  • Supported: Table-Level Access Control (BI-layer)
  • Supported: Field-Level Access Control (BI-layer)

Mobile Capabilities Features

  • Supported: Responsive Design for Web Access
  • Supported: Dashboard / Report / Visualization Interactivity on Mobile

Looker Screenshots

Screenshot of a Looker dashboard with a geo chart.

Looker Video

The future of Looker is powered by generative AI—Google's vision for what's next in business intelligence

Looker Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux, Mac
Mobile ApplicationNo
Supported CountriesUnited States, Canada, United Kingdom, Mexico, Germany, France, Australia, New Zealand, South Africa, Brazil
Supported LanguagesEnglish

Frequently Asked Questions

Looker is a BI application with an analytics-oriented application server that sits on top of relational data stores. It includes an end-user interface for exploring data, a reusable development paradigm for data discovery, and an API for supporting data in other systems.

Domo, MicroStrategy Analytics, and Tableau Server are common alternatives for Looker.

Reviewers rate Report Delivery Scheduling highest, with a score of 8.9.

The most common users of Looker are from Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews From Top Reviewers

Companies can't remove reviews or game the system. Here's why
(1-5 of 119)

Looker is an under-appreciated tool that can do wonders for your business

Rating: 8 out of 10
February 07, 2025
MD
Vetted Review
Verified User
Looker
4 years of experience
  • Creating visuals and tiles that help you understand your data with just a glance.
  • The ability to quickly add and remove filters, and measures to your existing reports and being able to start from one point and go from there instead of starting from scratch.
  • It's fairly fast, especially when dealing with huge amount of data.
Cons
  • Some filters don't work the way you expect them to so you will have to think o fa workaround.
  • Sometimes the report crashes if the complexity of the calculation is quite large.
  • It's not easy to merge fields or pivot on them.

Looker Software Review.

Rating: 9 out of 10
February 06, 2025
Vetted Review
Verified User
  • Dashboard looks good.
  • It can be used for small and large companies.
  • Can be used for all departments in the companies.
  • You can customized the dashboard as per company needs.
Cons
  • Could be better User experience.
  • Adding More features like involve AI.
  • Can be used in iOS and Android.

Top Notch Looker

Rating: 9 out of 10
March 20, 2025
Vetted Review
Verified User
Looker
2 years of experience
  • Help locate accounts
  • Provide specific details
  • Provide good chart history
Cons
  • Real Time Data
  • The time it takes to load information
  • The ability to add figures from Looker itself

Looker is a great product for data analysis, combining data sets across multiple platforms

Rating: 10 out of 10
November 06, 2024
Vetted Review
Verified User
Looker
1 year of experience
  • creating tables pulling informing from platforms
  • centralizing the data from different softwares
  • comparing data from different systems using department metrics
Cons
  • forecasting having adjustments or personal knowledge inputs to the data to help reflect seasonality
  • ease of use, specifically building reports and updating reports
  • linking the systems and verifying where the data is pulling from, where the data is being pulled from to create the tables are being being built from

Fully recommend Looker

Rating: 9 out of 10
February 27, 2025
Vetted Review
Verified User
Looker
4 years of experience
  • Filtering
  • Data segmentation
  • data representation
Cons
  • Merging dashes
  • speed of refreshing cookies
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