Hey! Do you have any benchmarks comparing Wildcat's throughput against established engines like RocksDB or LevelDB? What workloads show the most dramatic improvements?
HN user
ivanimprv
Software Engineer
Nice work on Wildcat! Multi-writer bottlenecks are a real pain point - love seeing fresh approaches to LSM optimization.
Thanks for the question! Yes, Status Observer MCP handles varying API formats through a hybrid approach. While some platforms provide clean JSON responses, others like GCP required custom helpers in a separate backend that parse the specific data formats and normalize them before delivery to the MCP server. This lets us handle platform-specific quirks while maintaining a consistent devolution. If you have any platform suggestions you'd like to see added, please create an issue in the repository. I'd be happy to work on implementing them!
tried supermassive and it's insanely fast!! def worth checking out!
tried tidesdb with python and it's really fast. a transactional key-value database written in c with a modern lsm-tree architecture. worth checking out
tried tidesdb with python and it's really fast. a transactional key-value database written in c with a modern lsm-tree architecture. worth checking out