Top Notch Looker
We use Looker to locate accounts, access data history for players and various things. These include wallet history, redemption history, a …
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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Popular Features
- Customizable dashboards (93)8.787%
- Report sharing and collaboration (95)8.686%
- Drill-down analysis (92)8.282%
- Formatting capabilities (93)7.474%
Reviewer Pros & Cons
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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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.
Product Demos
How To Use Looker as a Business User
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Product Details
- About
- Competitors
- Tech Details
- FAQs
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 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 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
Looker Video
The future of Looker is powered by generative AI—Google's vision for what's next in business intelligence
Looker Competitors
Looker Technical Details
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Windows, Linux, Mac |
| Mobile Application | No |
| Supported Countries | United States, Canada, United Kingdom, Mexico, Germany, France, Australia, New Zealand, South Africa, Brazil |
| Supported Languages | English |
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.
Reviewers rate Report Delivery Scheduling and Multi-User Support (named login) highest, with a score of 8.9.
The most common users of Looker are from Mid-sized Companies (51-1,000 employees).
Comparisons
Compare with
Reviews and Ratings
(376)Attribute Ratings
Reviews
(1-3 of 3)Companies can't remove reviews or game the system. Here's why
August 19, 2015
Ticketing Company Review of Looker - Complete Game Changer
Looker is being used by all departments across the entire company globally. We actually set up a group of 'super users', and 1 or 2 members of each department are represented in it. The business problem/ motivation to get Looker was to provide our business insight into our data without having to consult tech to write one-time use MySQL queries.
- Get access to your data! I taught myself MySQL and LookML and am able to model almost anything.
- Used to report on exceptions and police data quality. For example, we use Looker to notify our finance & customer support departments if there are any failed refunds.
- Data visualizations & dashboards provide great, easy, and quick insight into how our business is doing. For example, we have a dashboard that shows how we are selling concert tickets for any concerts we recently put on sale.
- More expansive & less technical data visualizations
- Blend data from different data sources
- RJMetrics,Tableau Desktop,Domo
We selected Looker for control over the data model, pricing, and to get into business with a young and growing company.
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80%
8.0
60%
6.0
83.33333333333334%
8.3
70%
7.0
93.33333333333334%
9.3
20%
2.0
N/A
N/A
10
Finance, product, marketing, client services, BD, customer support
1
Any querying language or basic programing background
- Sit on top of a proper data warehouse, which we will soon be building
- Alerts/ exceptions
- Dashboards
- Ad hoc or saved reports (aka Looks)
- Monitor inventory levels relative to items sold or unsold
August 18, 2015
A Look at Looker
Looker is being used across all of Lyve. Looker allows our business users to explore the data in our data warehouse and answer business relevant questions. The Data Insights team are the primary users, defining the data model and providing dashboards and reports that provide simple answers for other users but more importantly act as "jumping off points" for other questions.
- Looker is very good at answering "ad-hoc" questions once the data model is defined. A simple example for instance is when we show the number of users added to the system, we start with just the basic number, Looker makes it easy to explore from that starting point and ask other questions like "how many of those users were added in the last X days", or "how many of those users are on android versus ios."
- Looker has a feature called "Persistent Derived Tables" (PDTs) which allows for highly analytical queries which may take a long time to execute against the raw data to be pre-computed and the results quickly available to end users.
- Looker provides a lot of flexibility in how the data model is defined, you can start simply with individual tables from your data warehouse, but you can also define parts of the model based on SQL queries.
- Beyond the technical aspects of the product, the Looker team has been very responsive to questions from my team, as well as to requests for new features (and the occasional discovered bug).
- The evaluation process was very straightforward, we were able to use Looker against our own data and even begin the development of the data model during the evaluation, it gave us a real sense of how we could use for real use cases.
- Looker has had multiple product updates in the few months we've been using the product, they seem to have a good steady cadence of adding new features, improving existing features and addressing existing shortcomings in each new release.
- Looker needs some improvement in the visualization aspects of the product, they are very good at getting the data, but the choices for visualizing that data are somewhat limited, there are workarounds for some of the weaknesses but they tend to be labor intensive and fragile. For example, there is no way to define a custom color palette for use in our charts, we could define a set of colors on an individual graph and tie those colors to individual values, but it's more trouble than it's worth.
- Looker dashboards are an area where the needs often exceed the capabilities of the product. The dashboard layouts are done with a drag-and-drop interface which is not very responsive, and we often wind up with a dashboard that is "good enough" rather than what we were aiming for. This isn't a show stopper for us as the data is all present, but it can be frustrating.
- Looker does not provide a lot of feedback to users when it is processing data or even when there is a problem getting the data (possibly because of user/modeler error), you have to know to look for little spinning circles to see that it is still "thinking", or know that if a dashboard shows "No Data Available" that you have to dig deeper to find out what the actual problem is.
- Looker allows you to explore a large amount of data, this is both good and bad, it's great because you can probably find whatever you're looking for, but on the flip side, it's easy for users to get lost or overwhelmed with the number of choices they are being given.
Looker is much better at allowing users to interact with the data and "explore" to answer their "ad-hoc" questions. Tableau is better at pixel perfect visualizations. On balance, the interactivity is more important for our uses rather than "polished" visualizations.
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60%
6.0
55%
5.5
25%
2.5
33.333333333333336%
3.3
56.66666666666667%
5.7
35%
3.5
N/A
N/A
20
Product Management, Engineering, Executive, Operations, and Data Insights
2
- SQL Knowledge
- LookML (internal Looker modeling language)
August 18, 2015
Looker helps the homeless
Looker has been deployed to our users to help them better understand our customers' data. Before Looker our customers' had a difficult time analyzing their data. In the social service's world, decisions have been typically made based on anecdotal evidence. Now with Looker, they can quickly make decisions based on real-time data.
- Quick to implement
- Easy to use
- Very customizable
- Not robust enough table calculations
I think Looker is easier to use than Business Objects, Domo, Pentaho and Tableau. Tableau offers better visualizations than Looker but the overall package in Looker is better.
30 users.
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56.66666666666667%
5.7
80%
8.0
80%
8.0
43.33333333333333%
4.3
90%
9.0
50%
5.0
N/A
N/A
30
The are end users.
2
We have a data analyst and a system administrator.
- Operational data
- Predictive analytics
- Program Performance
- We use looker to analyze data on homeless clients and homeless projects.