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Looker VS CloudShell

Compare Looker VS CloudShell and see what are their differences

Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Looker logo Looker

Looker makes it easy for analysts to create and curate custom data experiencesโ€”so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

CloudShell logo CloudShell

Cloud Shell is a free admin machine with browser-based command-line access for managing your infrastructure and applications on Google Cloud Platform.
  • Looker Landing page
    Landing page //
    2023-10-11

Looker is a business intelligence platform with an analytics-oriented application server that sits on top of relational data stores. The Looker platform includes an end-user interface for exploring data, a reusable development paradigm for creating data discovery experiences, and an extensible API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.

  • CloudShell Landing page
    Landing page //
    2023-07-12

Looker features and specs

  • Powerful Data Modeling
    Looker uses LookML, a proprietary modeling language, making it possible to transform raw data into meaningful metrics and dimensions, providing deep insights without needing SQL expertise.
  • Ease of Use
    Its intuitive user interface enables non-technical users to create visualizations and reports with relative ease, reducing the workload on data teams.
  • Customization
    Looker offers extensive customization options for data exploration and visualization, allowing dashboards and reports to be tailored to specific user needs.
  • Embedded Analytics
    Provides robust capabilities for embedding analytics into applications or portals, broadening the scope of data-driven decision-making throughout the organization.
  • Real-time Data
    Supports real-time data analytics by querying live data, which ensures up-to-date insights and helps in making timely decisions.
  • Integrations
    Looker integrates seamlessly with a wide range of databases and cloud data warehouses, including Google BigQuery, Amazon Redshift, and Snowflake.

Possible disadvantages of Looker

  • Learning Curve
    LookML, while powerful, can be complex for beginners who are not already familiar with data modeling or SQL, resulting in a steep learning curve.
  • Cost
    Looker can be expensive, especially for small businesses, as pricing is typically based on the number of users and the data volume processed.
  • Performance
    Query performance can sometimes be slow, especially with complex data models and large data sets, which may impact the user experience.
  • Customization Constraints
    While Looker offers great customization, certain advanced customizations may require significant expertise and time, posing a potential barrier.
  • Limited Offline Capabilities
    Looker is primarily designed for online use, so it lacks robust offline capabilities, which can be a limitation for users who need access to data in situations without internet connectivity.

CloudShell features and specs

  • Integrated Environment
    CloudShell provides a fully integrated development environment directly within your browser, including access to Google Cloud resources, pre-installed Google Cloud SDK, and other useful tools.
  • Convenience
    Because it's browser-based, there is no need to install or configure anything locally, which can save considerable setup time and eliminate environment inconsistencies.
  • Security
    Operating within Google's infrastructure can add layers of security, including secure connection to cloud resources and less risk of exposing local machines to vulnerabilities.
  • Access to Project Resources
    Directly connects to Google Cloud resources associated with your account, making it easy to manage and deploy applications within your cloud environment.
  • Scalability
    Seamlessly scalable environment that can handle different workloads without performance degradation.
  • Persistent Storage
    CloudShell offers persistent storage, allowing users to save their work and configurations, which are available in future sessions.
  • Pre-installed Tools
    Includes a range of pre-installed tools, such as git, gcloud SDK, and language libraries, enabling efficient development and deployment workflows.

Possible disadvantages of CloudShell

  • Resource Limits
    CloudShell has usage limits, including limited disk space and CPU, which may not be sufficient for all types of workloads, particularly resource-intensive tasks.
  • Inactive Use Timeouts
    Sessions that are inactive for a period of time may be automatically terminated, which can disrupt ongoing work.
  • Dependency on Internet Connection
    Being a cloud-based solution, a stable internet connection is required. Any disruption in connectivity can hamper development and deployment processes.
  • Latency Issues
    Depending on your geographical location, there may be latency issues which can affect performance and response times.
  • Limited Customization
    While CloudShell provides many pre-installed tools, users have limited control over the environment compared to a locally managed development setup.
  • Paid Subscription Needed for Extensive Use
    Beyond the free tier, extensive usage of CloudShell resources may incur additional costs, which can add up depending on the scale and nature of the tasks.
  • Learning Curve
    New users who are not familiar with Google Cloud's ecosystem may face an initial learning curve to fully leverage CloudShell's capabilities.

Analysis of Looker

Overall verdict

  • Looker is generally considered a robust solution for organizations looking to enhance their data-driven decision-making capabilities. Its flexibility, extensibility, and ease of use make it a strong contender in the BI space, though it may require some learning and setup effort to fully utilize its features.

Why this product is good

  • Looker is a data analytics platform that provides powerful tools for data exploration, visualization, and business intelligence. It offers a user-friendly interface and is known for its ability to connect to a wide variety of data sources. Looker's LookML, a modeling language, allows users to define data relationships and calculations, making it easier to create custom reports and dashboards. Additionally, it integrates well with other tools and supports collaboration with data teams.

Recommended for

  • Companies seeking scalable and flexible business intelligence solutions.
  • Organizations that need to integrate multiple data sources.
  • Teams looking for a collaborative platform with custom reporting capabilities.
  • Users who prefer a code-based approach to data modeling and analysis.

Analysis of CloudShell

Overall verdict

  • Yes, CloudShell is a good tool, especially for those who are actively using Google Cloud Platform. It provides a user-friendly interface and a comprehensive set of tools to manage cloud resources effectively. Its convenience, combined with the power of GCP, makes it a valuable asset for cloud-based development and operations.

Why this product is good

  • CloudShell is a versatile tool offered by Google Cloud Platform (GCP) that provides a command-line environment directly in your web browser. It is particularly beneficial for developers and system administrators because it allows them to manage GCP resources easily without needing to install additional software on their local machines. CloudShell includes the Google Cloud SDK, along with other essential tools, making it a convenient and efficient option for cloud management tasks. Additionally, it offers persistent storage, allowing users to save their scripts and data between sessions. The integration with other GCP services enhances productivity by providing seamless access and control.

Recommended for

  • Developers who frequently work with Google Cloud Platform
  • System administrators managing GCP resources
  • New users of Google Cloud who need an easy introduction to command-line tools
  • Teams collaborating on GCP projects, as it supports session sharing

Looker videos

+ Add

Looker Review

More videos:

  • Tutorial - How To Use Looker as a Business User
  • Review - Looker Review - Off The Shelf Reviews

CloudShell videos

No CloudShell videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Looker and CloudShell)

Looker

CloudShell

Data Dashboard
100 100%
Data Dashboard
0% 0
Text Editors
0 0%
Text Editors
100% 100
Business Intelligence
100 100%
Business Intelligence
0% 0
Development
0 0%
Development
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Looker and CloudShell

Looker Reviews

Top 10 BI Tools in 2026 (with Pricing, AI Features & Enterprise Fit)
Looker like business intelligence platforms include tools that offer governed data models, embedded analytics, real-time dashboards, and scalable cloud performance. These platforms are ideal for organizations that need consistent metrics, strong data governance, and customizable analytics similar to what Looker provides.
Source: supaboard.ai
Explore 7 Tableau Alternatives for Data Visualization and Analysis
Looker Studio, formerly Google Data Studio, is a user-friendly business intelligence tool that transforms raw data into interactive, customizable dashboards and reports. It integrates seamlessly with Google's ecosystem and supports various data sources, including Google Analytics and BigQuery. Looker Studio offers robust visualization capabilities and real-time collaborative...
Source: www.draxlr.com
Explore 6 Metabase Alternatives for Data Visualization and Analysis
To find the best Metabase alternative for your business, start by listing your specific requirements, such as customer support, data integrations, visualization options, user access controls, and budget. Compare these needs with the features of other BI tools like Draxlr, Tableau, Power BI, Looker, or Holistics. Once you've identified a few suitable options, take advantage...
Source: www.draxlr.com
5 best Looker alternatives
In this blog, weโ€™ll dive into the best 5 Looker alternatives currently dominating the market. Whether you're seeking a Looker alternative with enhanced features, better pricing, or a more tailored fit for your analytics needs, this guide will help you discover BI tool that could be a perfect match for your business.
Source: www.draxlr.com
10 Best Alternatives to Looker in 2024
Exploring alternatives to Looker isn't just about finding a different tool; it's about uncovering solutions that better address your specific business challenges and operational workflows. Here, we highlight five areas where Looker's limitations might lead you to consider other options.
Source: www.sigmacomputing.com

CloudShell Reviews

We have no reviews of CloudShell yet.
Be the first one to post

Social recommendations and mentions

Looker might be a bit more popular than CloudShell. We know about 14 links to it since March 2021 and only 13 links to CloudShell. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Looker mentions (14)

  • edit home page to add folder section
    Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the folders if you have set the permissions correctly for each folder). Source: over 3 years ago
  • Stars, tables, and activities: How do we model the real world?
    Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins that can make Kimball warehouses hard to navigate for business users. - Source: dev.to / over 3 years ago
  • dbt for Data Quality Testing & Alerting at FINN
    We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / over 4 years ago
  • I'm a dev ID 10 T please help me
    Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 4 years ago
  • The Data Stack Journey: Lessons from Architecting Stacks at Heroku and Mattermost
    For Growth and larger, I would recommend Looker. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. This lets your... - Source: dev.to / over 4 years ago
View more

CloudShell mentions (13)

  • GCP Fundamentals: Cloud Shell API
    The Google Cloud Shell API empowers organizations to automate cloud operations, accelerate software delivery, and improve efficiency. By providing a programmatic interface for managing Cloud Shell environments, the API unlocks new possibilities for developers, SREs, and data teams. Explore the official documentation and try the hands-on lab to experience the benefits of the Cloud Shell API firsthand. ... - Source: dev.to / about 1 year ago
  • Intro to the YouTube APIs: searching for videos
    Command-line (gcloud) -- Those who prefer working in a terminal can enable APIs with a single command in the Cloud Shell or locally on your computer if you installed the Cloud SDK which includes the gcloud command-line tool (CLI) and initialized its use. If this is you, issue this command to enable the API: gcloud services enable youtube.googleapis.com Confirm all the APIs you've enabled with this command:... - Source: dev.to / almost 2 years ago
  • Explore the world with Google Maps APIs
    Gcloud/command-line - Finally, for those more inclined to using the command-line, you can enable APIs with a single command in the Cloud Shell or locally on your computer if you installed the Cloud SDK (which includes the gcloud command-line tool [CLI]) and initialized its use. If this is you, issue the following command to enable all three APIs: gcloud services enable geocoding-backend.googleapis.com... - Source: dev.to / about 2 years ago
  • Getting started with the Google Cloud CLI interactive shell for serverless developers
    While you might find that using the Google Cloud online console or Cloud Shell environment meets your occasional needs, for maximum developer efficiency you will want to install the Google Cloud CLI (gcloud) on your own system where you already have your favorite editor or IDE and git set up. - Source: dev.to / over 3 years ago
  • Cloud desktops aren't as good as you'd think
    Here is the product https://cloud.google.com/shell It has a quick start guide and docs. - Source: Hacker News / almost 4 years ago
View more

What are some alternatives?

When comparing Looker and CloudShell, you can also consider the following products

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

GitHub Codespaces - GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

CodeTasty - CodeTasty is a programming platform for developers in the cloud.

Sisense - The BI & Dashboard Software to handle multiple, large data sets.

Glitch - Glitch is the friendly community where everyone builds the web. Simple, powerful interface for creating web apps.

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