Looker VS GravityView

• 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

• 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.

• User-Friendly Interface
  GravityView offers a user-friendly interface that makes it easy for users to display and manage Gravity Forms entries on the frontend without extensive coding knowledge.
• Customizability
  Highly customizable, allowing users to design their views using drag-and-drop functionality, custom layouts, and various widget options.
• Integration with Gravity Forms
  Seamlessly integrates with Gravity Forms, enabling the display of form data in numerous formats and views, such as tables, lists, and more.
• Data Filtering and Sorting
  Provides advanced filtering and sorting options, allowing users to control how data is displayed and accessed by site visitors.
• Multiple View Types
  Supports multiple view types including lists, tables, and data tables, catering to different use cases and presentation needs.

Possible disadvantages

• Cost
  GravityView is a premium plugin with yearly subscription costs which might be a consideration for small businesses or personal projects.
• Learning Curve
  While it is user-friendly, some users may find a learning curve, especially if they are unfamiliar with Gravity Forms or the concept of views.
• Dependency on Gravity Forms
  Requires Gravity Forms to function, meaning users need to invest in two plugins, which increases the overall cost.
• Complexity for Advanced Features
  For more advanced features and customizations, users may need to have some coding knowledge, which could be a barrier for beginners.
• Performance Concerns
  On larger sites with a significant amount of form entries, there might be performance concerns, requiring optimization or additional resources.

Looker Review

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GravityView Review

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• 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... 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... - Source: dev.to / almost 4 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

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Tracking GravityView since Jun 2025.