PaintCode VS Looker

• Code Generation
  PaintCode can generate code in Swift, Objective-C, Java, C#, or JavaScript, allowing developers to seamlessly integrate designs into their projects without manually converting graphics to code.
• Resolution Independence
  Graphics created in PaintCode are resolution-independent, meaning they scale smoothly across devices with different screen sizes and pixel densities.
• Real-Time Preview
  The live preview feature lets users see changes instantly, speeding up the design process and ensuring that the final output matches the designer’s vision.
• Collaboration With Design Tools
  PaintCode supports importing vector graphics from design tools like Sketch, preserving vector elements and making it easy to translate existing designs into code.
• Reusable Components
  Users can create and manage reusable components, which helps in maintaining consistency across projects and reduces repetitive tasks.

Possible disadvantages

• Learning Curve
  Despite being user-friendly, new users may face a learning curve understanding how to translate complex designs into code efficiently.
• Limited to Vector Graphics
  PaintCode primarily focuses on vector graphics, which might not fully support all design requirements, especially those involving bitmap images.
• Price Point
  The cost of purchasing PaintCode might be high for individual developers or those working on smaller projects with constrained budgets.
• Native Platform Constraints
  Generated code is typically native to the platforms supported by PaintCode, potentially limiting cross-platform compatibility and requiring additional adjustments when targeting multiple environments.
• Dependency on Updates
  Regular updates are crucial to ensure compatibility with the latest design tools and programming languages, which can be detrimental if updates are slow or infrequent.

• 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.

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Tracking PaintCode since Mar 2021.

• 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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