Looker VS Components Engine

• 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
  Components Engine offers a user-friendly interface that allows for easy navigation and usability, which can be beneficial for companies with varying levels of technical expertise.
• Customization and Flexibility
  The platform allows for high levels of customization and flexibility, enabling businesses to tailor the software to meet their specific needs and preferences.
• Efficient Parts Management
  Components Engine excels in parts management, providing robust tools for organizing, searching, and maintaining parts data, which can improve operational efficiency.
• Integration Capabilities
  It has the ability to integrate with other software systems, allowing for seamless data exchange and improved workflow management across different platforms.
• Technical Support
  The provider offers comprehensive technical support, which can help users resolve any issues quickly, minimizing downtime and disruption.

Possible disadvantages

• Cost
  The platform may be expensive for small to medium-sized businesses, particularly those that require fewer features or have budget constraints.
• Complexity for Some Users
  While flexible, the complexity of some customizations might be overwhelming for users without a technical background, potentially requiring additional training or resources.
• Implementation Time
  Implementation of the software can be time-consuming, particularly for larger organizations with extensive data migration needs.
• Limited Offline Capabilities
  The platform's functionality may be limited when offline, potentially hindering users who need access in environments with poor internet connectivity.
• Learning Curve
  There may be a steep learning curve for new users to fully utilize all features of the software, which can delay productivity gains.

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Looker 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 Components Engine since Mar 2021.