Side by Side with Elasticsearch and Solr: Performance and Scalability by Mick Emmett.
From the post:
Back by popular demand! Sematext engineers Radu Gheorghe and Rafal Kuc returned to Berlin Buzzwords on Tuesday, June 2, with the second installment of their “Side by Side with Elasticsearch and Solr” talk. (You can check out Part 1 here.)
Elasticsearch and Solr Performance and Scalability
This brand new talk — which included a live demo, a video demo and slides — dove deeper into into how Elasticsearch and Solr scale and perform. And, of course, they took into account all the goodies that came with these search platforms since last year. Radu and Rafal showed attendees how to tune Elasticsearch and Solr for two common use-cases: logging and product search. Then they showed what numbers they got after tuning. There was also some sharing of best practices for scaling out massive Elasticsearch and Solr clusters; for example, how to divide data into shards and indices/collections that account for growth, when to use routing, and how to make sure that coordinated nodes don’t become unresponsive.
Video is coming soon, and in the meantime please enjoy the slides:
After you see the presentation and slides (parts 1 and 2), you will understand the “popular demand” for these authors.
The best comparison of Elasticsearch and Solr that you will see this year. (Unless the presenters update their presentation before the end of the year.)