Google

Looker

Composite Score

8.4 /10

CX Score

8.6 /10

32 Reviews Write a Review

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What is Looker?

Looker is a platform for data that streamlines the data supply chain to create actionable information. It allows any organization to extract value from their data at web-scale, delivers powerful purpose built applications to address the needs of specific teams, and provides a flexible, embedded analytics framework with Powered by Looker.

Company Details

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Awards & Recognition

Looker won the following awards in the Customer Intelligence category

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2024 Data Quadrant Gold Medalist

2024

3 Top Rated Capabilities

5 Top Rated Features

2024

Looker Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Looker.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

84 Likeliness to Recommend

80 Plan to Renew

3
Since last award

81 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+86 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Looker?

0% Negative

9% Neutral

91% Positive

Pros

Enables Productivity
Effective Service
Caring
Respectful

Feature Ratings

Average 82

Audience Segmentation

Conversion Analysis

Data Visualization

Cross Channel Attribution Analysis

Metadata Management

Audience Demographics

API Framework

Anomaly Detection

Predictive Analytics

Customer Journey Modelling

Real Time Workflow Automation

Vendor Capability Ratings

Average 82

Business Value Created

Breadth of Features

Ease of Customization

Quality of Features

Vendor Support

Ease of IT Administration

Ease of Data Integration

Ease of Implementation

Availability and Quality of Training

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Also Featured in...

Business Intelligence & Analytics - Midmarket

Score 8.4

View Looker in this category (opens in a new tab)

Sales Analytics

Score 8.2

View Looker in this category (opens in a new tab)

Business Intelligence & Analytics – Enterprise

Score 7.8

View Looker in this category (opens in a new tab)

Looker Reviews

Todd G.

Role: Finance
Industry: Construction
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Nov 2023

This product is fairly good, it isn't the best but

Likeliness to Recommend

6 /10

What is your favorite aspect of this product?

Sql use was great

What do you dislike most about this product?

Not too much customizability

What recommendations would you give to someone considering this product?

Use it up, it's got

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Cons

Vendor's Interest First

Rajeev B.

Role: Information Technology
Industry: Technology
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Nov 2023

Nice tool to play with the business data

Likeliness to Recommend

8 /10

What differentiates Looker from other similar products?

If already with Google Cloud, you can deploy Looker instance and be charged as per usage. While Tableau might have better dashboard for visualizing data, the strength of Looker is how seamlessly it integrates with your database and can be scaled. Looker replies to your queries in the form of a chat, something which Tableau to the best of my knowledge cannot. Another close competitor Cognos Analytics is pricey and meant for large enterprises, not for small startups amongst which Google Cloud is very popular.

What is your favorite aspect of this product?

A platform to make sense of structured and unstructured data. With zero programming knowledge, queries can be created. Chat can reply to your queries raised after quickly parsing the database in almost real time. On the backend, queries are performed on SQL-based modeling language LookML without requiring user to write LookML codes.

What do you dislike most about this product?

Naming can be confusing. While Looker Studio is meant for creating dashboards, Looker available on a Google Cloud Service is BI offering that is more comprehensive beyond dashboarding.

What recommendations would you give to someone considering this product?

Looker is part of Google Cloud offerings. Start with free Google Cloud trial. They are offering liberal credit to startups. Check your eligibility.

Pros

Efficient Service
Respectful
Helps Innovate
Continually Improving Product

Tomasz M.

Role: Information Technology
Industry: Retail
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Nov 2023

Dedicated to big teams, not for single person use.

Likeliness to Recommend

9 /10

What differentiates Looker from other similar products?

Effectiveness . Cashing and sharing results. Everything stored as a code, easy to track changes.

What is your favorite aspect of this product?

Development mode that allow us verify our changes before deploying them

What do you dislike most about this product?

Costs and administration. It was hard to set up connections correctly.

What recommendations would you give to someone considering this product?

Don't be alone with it. It is much easier if You migrate to Looker BI as a team.

Pros

Continually Improving Product
Reliable
Performance Enhancing
Enables Productivity

Cons

Commodity Features

Looker

What is Looker?

Company Details

Need Assistance?

Awards & Recognition

2024 Data Quadrant Gold Medalist

Looker Ratings

84 Likeliness to Recommend

80 Plan to Renew

3 Since last award

81 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+86 Net Emotional Footprint

How much do users love Looker?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Audience Segmentation The ability to create and analyze discrete customer audience segments based on user-defined criteria or variables.

Conversion Analysis Capture and analyze conversion data and conversion paths from multiple channels.

Data Visualization Visualize customer data in configurable dashboards or reports, and easily share these visualizations with decision makers.

Cross Channel Attribution Analysis The ability to estimate and report on conversion contributions to revenue.

Metadata Management Easily manage metadata associated with customer data or audience segments.

Audience Demographics Capture, analyze and display demographic data from customer interaction channels.

API Framework The platform provides the ability to move data to and from the solution and other customer interaction applications (i.e. CRM) with ease.

Anomaly Detection The ability to identify and classify anomalous patterns in customer or transactional datasets.

Predictive Analytics The ability to make predictions about audience behavior based on historical data and machine learning.

Customer Journey Modelling Model and display customer behaviors or journeys through multiple channels (web, e-mail, social).

Real Time Workflow Automation The ability to create rules-based workflows and trigger certain actions (i.e. re-marketing) based on audience segments or behavioural cues.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Also Featured in...

Business Intelligence & Analytics - Midmarket

Sales Analytics

Business Intelligence & Analytics – Enterprise

Looker Reviews

Todd G.

This product is fairly good, it isn't the best but

Likeliness to Recommend

Pros

Cons

Rajeev B.

Nice tool to play with the business data

Likeliness to Recommend

Pros

Tomasz M.

Dedicated to big teams, not for single person use.

Likeliness to Recommend

Pros

Cons

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3
Since last award

Feature Ratings

Audience Segmentation

Conversion Analysis

Data Visualization

Cross Channel Attribution Analysis

Metadata Management

Audience Demographics

API Framework

Anomaly Detection

Predictive Analytics

Customer Journey Modelling

Real Time Workflow Automation

Vendor Capability Ratings

Business Value Created

Breadth of Features

Ease of Customization

Quality of Features

Vendor Support

Ease of IT Administration

Ease of Data Integration

Ease of Implementation

Availability and Quality of Training

Usability and Intuitiveness

Product Strategy and Rate of Improvement