I know the project doesn't claim it, but the title somewhat implies this: I honestly don't understand people claiming ElasticSearch is hard to operate, especially not at small scales. If anything, ElasticSearch for me has been one of the easiest pieces of infrastructure to operate, for me pretty much "zero-config". Let me elaborate: You can run ElasticSearch via Docker command-line, if you want a cluster you just supply IPs of the other nodes. Then you start indexing documents with simple HTTP calls. You can add or remove nodes at any time and don't have to do anything but to start another ElasticSearch instance. If you run out of space or performance just start another node. Everything needed for management, indexing, search is available through HTTP APIs, no tools needed.
Clustered ElasticSearch has been rock-solid for me and I've used it in anger many times. The level of maintenance needed is close to zero, both initially and long-term. Compare that with the abysmal experience of setting up a sharded MongoDB cluster for example...
Please enlighten me how ElasticSearch is "a lot of work to operate" (heard that one multiple times), and what you're comparing it to.
Clustered ElasticSearch has been rock-solid for me and I've used it in anger many times. The level of maintenance needed is close to zero, both initially and long-term. Compare that with the abysmal experience of setting up a sharded MongoDB cluster for example...
Please enlighten me how ElasticSearch is "a lot of work to operate" (heard that one multiple times), and what you're comparing it to.