log-analytics-starter-kit VS manticoresearch

This is awesome! We did something similar for our internal logging at Tinybird (which itself is built on ClickHouse) and I recently turned into it a (very simplified) Starter Kit that others can fork and use in their projects. https://github.com/tinybirdco/log-analytics-starter-kit

Rather than writing to files and using an agent like beats to tail them, it sends logs directly from the application code with a basic POST request. Obviously, you could just as happily tail the file and forward the logs, but this approach reduced the footprint of tools and made it work in serverless environments.

Note, you need to do it in the root folder of a clone from https://github.com/manticoresoftware/manticoresearch

Interesting, how does it compare to Mantico search?

Where Manticore Search? https://manticoresearch.com/

It's not open source since 2017. The open source fork is https://github.com/manticoresoftware/manticoresearch

I haven't looked at the code, but I've seen https://github.com/manticoresoftware/manticoresearch popping up in a few places. Might be worth looking at. It would be great to have a faster drop-in replacement for Elasticsearch that's not written in Java. They blogged about it here: https://manticoresearch.com/blog/manticore-alternative-to-elasticsearch/

I don't see anywhere where they claim that it's faster simply because it's written in C++. They do mention that they make use of C++ to add low level optimizations that make queries faster and the memory imprint smaller, but any claims about performance in the readme are linked to benchmarks to back up their claims

https://github.com/manticoresoftware/manticoresearch/

https://db-benchmarks.com/test-taxi/#manticore-search-vs-ela...

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