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Hi Michał, thanks for dropping us a line! Performance is usually pretty scenario-specific (data, hardware, usage patterns, features, ...) and because of differences in the way products are designed to be used, we don't maintain any general comparisons. For example, Seq's usability springs in part from its full commitment to structured data, and the performance of even quite complex queries over structured data is important to us, but products that emphasize logs-as-text will blow us away in text search performance. Because we don't index on ingest, Seq has great ingest performance, but background indexing has CPU requirements that might be otherwise higher than on systems that do index up-front. Querying also has very different characteristics across systems; Seq incrementally searches in reverse-time order, so it can be faster to yield results from new ingest, while other systems might have better overall throughput across large time ranges. I'm afraid this hasn't turned out to be a very useful answer to your original question :-) and I know you'll need to come up with some criteria of evaluation. If there's a specific metric that you expect to be particularly important for the new system (CPU or RAM usage, storage space, ingest, interactive search, archival search, etc.) let me know and I'll pass on whatever info I can. Best regards, |
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Hi,
I've been happily using Seq in multiple project over past couple of years. I'd love to see it in the upcoming project where I'm advising the architecture choices, however - for that to happen - I need to convince the people in charge of the project, main non-technical.
While the usability advantages of Seq are obvious, but hard to measure - are there any performance comparisons ran against the competitors?
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