Looker VS SigmaPlot

• 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.

• Advanced Graphical Capabilities
  SigmaPlot offers a wide range of graph types and advanced plotting features, allowing for detailed and highly customized visual representation of data.
• Data Analysis Tools
  The software includes robust data analysis tools, such as curve fitting and regression analysis, that help in extracting meaningful insights from data sets.
• Integration with Microsoft Office
  SigmaPlot seamlessly integrates with Microsoft Office, making it easy to incorporate graphs and data into presentations and documents.
• User-friendly Interface
  It features a user-friendly interface that is relatively easy to navigate, which can help users, especially beginners, to work efficiently.
• Template and Customization Options
  The program offers various templates and customization options for creating consistent and professional-looking graphs.

Possible disadvantages

• Cost
  SigmaPlot is a premium software, which could be quite expensive for individuals and small organizations with limited budgets.
• Steep Learning Curve
  Despite being user-friendly, mastering all the advanced features and capabilities of SigmaPlot can take considerable time and effort.
• Limited Platform Support
  Primarily available for Windows, limiting its use for individuals and organizations using other operating systems like macOS and Linux.
• Lack of Collaboration Features
  The software does not offer built-in collaboration tools, potentially making it challenging for teams to work together efficiently on data projects.
• Resource Intensive
  Running SigmaPlot can be resource-intensive, which might pose challenges on lower-spec devices, affecting performance and productivity.

No analysis of SigmaPlot yet.

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 SigmaPlot since Mar 2021.