Looker VS PlotDevice

• 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.

• Ease of Use
  PlotDevice offers an intuitive and straightforward interface, making it accessible for users with varying levels of experience in programming and graphic design.
• Python-Based
  It utilizes Python as its scripting language, which is widely known and appreciated for its readability and versatility, making it easier for Python developers to get started.
• Vector Graphics
  PlotDevice is designed to create 2D graphics using vectors, which ensures high-quality output that is scalable and resolution-independent.
• Integration Capabilities
  It can integrate with other tools and systems easily due to its Python foundation, providing flexibility in workflows.
• Open Source
  As an open-source tool, PlotDevice allows users to inspect, modify, and contribute to its codebase, fostering community engagement and development.

Possible disadvantages

• Limited to MacOS
  PlotDevice is only available for MacOS, restricting its usability to a particular segment of users and excluding those on Windows or Linux.
• Niche Application
  Primarily focused on generating static 2D graphics, it might not be the best fit for projects requiring dynamic graphics or 3D modeling.
• Performance
  For more complex and computationally intensive tasks, PlotDevice might underperform compared to other specialized graphic design software.
• Community and Support
  Being a niche tool, the community and user base might be smaller, leading to fewer resources for troubleshooting and third-party tutorials.
• Steep Learning Curve for Non-Programmers
  While it is Python-based, individuals without programming backgrounds may find it challenging to leverage the full potential of PlotDevice without learning to code.

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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 PlotDevice since Mar 2022.