We use elasticsearch to power our ecommerce search, and it works pretty well, but we're considering moving to a commercial product, or solr, to get closer to pe

We use elasticsearch to power our ecommerce search, and it works pretty well, but we're considering moving to a commercial product, or solr, to get closer to personalized results based on our knowledge about the user. We just rewrote our internal search API from a windows service indexer with lucene indices and a vb.net SOAP api in iis to a netcore service, hosted in k8s, that splits out ingest, analysis, storage and queries into separate domains, with the writes going to Azure Search Service*. Our use case might be a bit weird -- this app is essentially an internal API that supports the search needs of our other teams and their own products for our own internal software. It probably has 30 million records across a few different indices. We made the decision to migrate from lucene because of the ease of clustering elasticsearch. We previously achieved availability by just running multiple copies of the standalone service and doing smart health checks at the load balancer level in case a lucene index got corrupted and needed to spend a day rebuilding, but that didn't scale well for rebuild times, and we have been consolidating all of our legacy tech onto netcore and kubernetes. Raw lucene was an order of magnitude faster than azure search service, but that's probably more a function of being able to essentially query the indices directly in memory of the webservice, as opposed to a slightly underprovisioned search cluster with all the HTTP overhead. We're migrating it to our own elasticsearch cluster right now for performance, cost savings and cloud-agnosticism.