Apache Lucene is combining two optimizations for evaluating disjunctive queries, bringing significant speedups to top-k queries, especially with many terms and/or high-frequency terms.

Elasticsearch 8.9 introduces optimizations to cardinality aggregations by filtering out documents whose value has already been collected.

There are different ways to implement a vector database, which have different trade-offs. In this blog, you'll learn more about how vector search has been integrated into Elastisearch and the trade-offs that we made.

Data ingestion involves a lot of things that usually take a non-negligible amount of time. Fortunately, we've got improvements in 8.6, 8.7, and 8.8, which enabled some good speedups for end-to-end ingestion.

Elasticsearch 7.14 introduces a new field type called match_only_text, which can be used as a drop-in replacement for the text field type in logging datasets and leads to a 10% reduction of storage requirements.

Elasticsearch 7.10 and Lucene 8.7 have significantly improved compression of indices with enhanced detection of duplicate data across documents. With up to 10% improved efficiency, you can upgrade today and start saving on storage costs.

Elastic Stack 6.8.13 has been released. Read about the updates and bug fixes that have been included.

Elastic Stack 7.9.3 has been released. Read about the updates and bug fixes that have been included.

Elastic Stack 6.8.9 has been released. Read about the updates and bug fixes that have been included.