JSON Generator VS SelectStar

• Easy to Use
  JSON Generator has a user-friendly interface that allows users to quickly create JSON data with minimal effort.
• Customizable
  The tool allows customization of JSON data structures, enabling users to define their own fields and data types.
• Random Data Generation
  It can generate random data for testing purposes, which is useful for developers and testers working on applications requiring sample data.
• Templates
  JSON Generator provides templates to speed up the data creation process, allowing users to quickly start with common structures.

Possible disadvantages

• Limited Advanced Features
  The tool may lack some advanced features that developers might need for more complex JSON data generation.
• Online Dependency
  Being an online tool, it requires an internet connection, which might not be suitable for all users or situations.
• Security Concerns
  As with any online tool, there may be concerns about the security of the data being generated or uploaded.
• Learning Curve for Templates
  While templates are available, there may be a learning curve associated with understanding and effectively using them for new users.

• Comprehensive Data Discovery
  SelectStar provides extensive data discovery capabilities which help users efficiently explore and understand their data assets.
• Automated Documentation
  It offers automated documentation and lineage tracking which reduces the manual work typically involved in maintaining up-to-date data documentation.
• User-Friendly Interface
  SelectStar features a user-friendly interface that allows users of various technical backgrounds to navigate and use the platform easily.
• Integration Capabilities
  The platform supports integration with a wide variety of data sources and tools, enhancing its flexibility and applicability in different data environments.
• Collaboration Features
  SelectStar includes collaboration features that enable teams to work together more effectively by sharing insights and data knowledge.

Possible disadvantages

• Pricing
  The pricing model might be expensive for small to medium-sized businesses or startups with limited budgets.
• Learning Curve
  While the interface is user-friendly, new users may still experience a learning curve in fully leveraging all of SelectStar’s advanced features.
• Feature Limitations
  Some users may find that specific advanced features they need are not supported or fully developed yet on the platform.
• Dependence on Integrations
  Users who rely on niche or less common data sources might face challenges integrating them, as the platform depends heavily on integrations.

• How to code faster - VS Code edition

  JSON Generator: also generates mock data, but for JSON specifically. It's a bit more complex, but it allows for tailor-made results. - Source: dev.to / almost 3 years ago

• Show HN: Generate JSON mock data for testing/initial app development

  Is there a generator for all the JSON generators out there? https://json-generator.com/. - Source: Hacker News / about 3 years ago

• Object-oriented JSON in Go

  So I generated a random JSON file and tried parsing it. It doesn’t error, but whenever I do a println(root.Object().Value().String()), I get a panic: wrong type. If I do a println(root.Object().Present()), it prints false. So seems like... Source: over 3 years ago

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• Is there a way by which we can get column lineage diagram from SQL query ? Any ideas ?

  Hi 👋 selectstar.com founder here. Thanks for mentioning us! Yes we do generate column level lineage automatically once you connect your database based on the SQL queries (for DDL/DML queries that include SELECTs). Feel free to dm me if... Source: almost 5 years ago

• Launch HN: Metaplane (YC W20) – Datadog for Data

  Congrats on the launch! Data Quality is an important area that our customers always ask about on Select Star (https://selectstar.com). Looking forward to integrate with you guys one day. - Source: Hacker News / almost 5 years ago