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The frozen data tier can achieve both low cost and good performance by leveraging Elastic's Searchable Snapshots - which offer a compelling solution for managing vast amounts of data while maintaining the performant searchability of data within a budget.
In this article, we delve into a benchmark of Elastic's hot and frozen data tiers by running sample queries on 105 terabytes of logs spanning more than 90 days. These queries replicate common tasks within Kibana's Discover, including search with highlighting, total hits, date histogram aggregation, and terms aggregation; that all happen behind the scenes when a user triggers a simple search. The results reveal that Elastic's frozen data tier is quick and delivers latency comparable to its hot tier, with only the first query to the object store being slower - subsequent queries are fast.
We replicated the way a typical user would interact with a hot-frozen deployment through Kibana's Discover - its main interface for interacting with indexed documents.