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• Lonnie Spencer

  

  • 1 posts
   

  24 de abril de 2025 06:33:13 ART

  Hey everyone,

  I'm currently evaluating Xiglute for a project that involves analyzing a large volume of high-frequency data (think financial market data, sensor readings, etc.). We need something that can handle the throughput and complexity of the data without choking, and Xiglute's architecture seems promising.

  However, before we fully commit, I'm hoping to hear from others who have actually used Xiglute in a similar context. Specifically, I'm curious about:

  • Performance: What kind of data ingestion rates are you seeing? How does Xiglute handle concurrent queries on large datasets?
  • Scalability: Have you had to scale your Xiglute deployment? If so, what was the process like? Any gotchas to be aware of?
  • Tools/Integrations: What tools are you using with Xiglute for data visualization and analysis (e.g., Python libraries, BI tools)? How well do they integrate?
  • Overall Experience: What are the biggest pros and cons you've encountered using Xiglute for this type of work?

  Any insights, tips, or warnings would be greatly appreciated! Thanks in advance. geometry dash lite