FriendlyData VS Angle-grinder

• Ease of Use
  FriendlyData allows users to interact with databases using natural language queries, which makes it accessible for non-technical users who are not familiar with complex database query languages.
• Time-Saving
  By enabling natural language processing, FriendlyData reduces the time it takes for users to get the information they need, facilitating quicker decision-making processes.
• Integration
  FriendlyData can be integrated with various platforms and services, making it versatile for different business needs.

Possible disadvantages

• Complex Queries Limitation
  While FriendlyData is useful for simple queries, it may struggle to accurately interpret and execute more complex queries, limiting its effectiveness for advanced data analysis.
• Language Ambiguity
  Natural language processing might not always accurately interpret user queries, especially if the input is ambiguous or lacks specificity.
• Dependency on Vendor
  Relying on third-party services like FriendlyData introduces dependency on the vendor for maintenance, updates, and support, which could pose risks if the service changes or is discontinued.

No features have been listed yet.

Tracking FriendlyData since Mar 2021.

• Ngtop – Request analytics from the Nginx access logs

  Found it much easier to just used structured logs and slice them with [angle grinder](https://github.com/rcoh/angle-grinder). - Source: Hacker News / about 2 years ago

• Show HN: How did I live without Pipe Watch?

  Seems like similar to lnav[1] or angle-grinder[2]. [1] https://lnav.org/ [2] https://github.com/rcoh/angle-grinder. - Source: Hacker News / over 4 years ago