Software Alternatives, Accelerators & Startups
Register | Login

Looker VS GitHub OAuth

Compare Looker VS GitHub OAuth and see what are their differences

Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
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.

GitHub OAuth logo GitHub OAuth

OAuth is a protocol that lets external applications request authorization to private details in a user's GitHub account.
  • 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.

  • GitHub OAuth Landing page
    Landing page //
    2023-07-22

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.

GitHub OAuth features and specs

  • Wide Adoption
    GitHub's OAuth is widely adopted, allowing seamless integration with various applications that developers already use, making it easier to onboard users.
  • Security
    OAuth provides a secure way to authorize applications without exposing user credentials, reducing the risk of unauthorized access.
  • Granular Permissions
    GitHub OAuth allows for fine-grained permissions, enabling users to control the level of access each application has to their data.
  • User Convenience
    Users can sign in and authorize applications using their GitHub accounts, streamlining the authentication process and improving user experience.
  • Detailed Documentation
    Comprehensive documentation is available to assist developers in implementing and managing OAuth for GitHub applications effectively.

Possible disadvantages of GitHub OAuth

  • Complexity
    Implementing OAuth can be complex for developers unfamiliar with the protocol, requiring a solid understanding of the OAuth flow and proper handling of tokens.
  • Rate Limiting
    GitHub imposes rate limits on API requests, which can affect applications relying heavily on GitHub OAuth and API access, especially for large-scale applications.
  • Dependency on GitHub
    Applications relying solely on GitHub OAuth may face challenges if GitHub experiences downtime or changes its API or OAuth implementation.
  • Scope Limitations
    The predefined scopes may not fit all application needs, potentially limiting the functionality that an application can provide to its users.

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.

Looker videos

+ Add

Looker Review

More videos:

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

GitHub OAuth videos

+ Add

How to create GitHub OAuth App (client ID and client secret)

More videos:

  • Review - Github OAuth using PHP (Sign in with Github)

Category Popularity

0-100% (relative to Looker and GitHub OAuth)

Looker

GitHub OAuth

Data Dashboard
100 100%
Data Dashboard
0% 0
Productivity
0 0%
Productivity
100% 100
Business Intelligence
100 100%
Business Intelligence
0% 0
Command Line Tools
0 0%
Command Line Tools
100% 100

User comments

Share your experience with using Looker and GitHub OAuth. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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

GitHub OAuth Reviews

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

Social recommendations and mentions

Based on our record, Looker should be more popular than GitHub OAuth. It has been mentiond 14 times since March 2021. 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

GitHub OAuth mentions (8)

  • Show HN: Conductor, a Mac app that lets you run a bunch of Claude Codes at once
    Hi! Right now the app uses GitHub's OAuth sign in (https://docs.github.com/en/apps/oauth-apps/building-oauth-apps/authorizing-oauth-apps) which unfortunately doesn't allow for fine-grained permissions. It will only have access to organization code if you explicitly grant it. - Source: Hacker News / about 1 year ago
  • How to Set Up GitHub Login in SafeLine
    Please refer to the GitHub official documentation to create a GitHub OAuth application and obtain the application's ClientID and ClientSecret. - Source: dev.to / about 1 year ago
  • Authenticated tests with Playwright, Prisma, Postgres, and NextAuth
    2. Next, we need to creat a valid JWT for GitHub OAuth. The values used here are expected by GitHub including the profile image, access token (this is fake but in a similar structure), user email and name (in the spread ...user) and the sub which is the mock GitHub id. For more information on GitHub OAuth, check out the docs. - Source: dev.to / almost 2 years ago
  • Self-hosted GitHub Actions runners using AWS CodeBuild
    Select GitHub from the available Sources and select the default connect option Connect using OAuth. You can find more details on GitHub OAuth here. - Source: dev.to / about 2 years ago
  • Task tracker application using NextJS and SurrealDB
    Create a new GitHub application for authentication and generate a Client ID and Client Secret by following this documentation. - Source: dev.to / over 2 years ago
View more

What are some alternatives?

When comparing Looker and GitHub OAuth, 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.

Hurl.dev - Hurl is a command line tool that runs HTTP requests defined in a simple plain text format.

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

Zaprite - Convert your time into bitcoin

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

FusionAuth - FusionAuth is a CIAM platform that is 100% free for unlimited users.

Loading...