> For the complete documentation index, see [llms.txt](https://functional.gitbook.io/database_comparison_report/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://functional.gitbook.io/database_comparison_report/elasticsearch/cons-of-elasticsearch.md).

# Cons of Elasticsearch

**Lack of multi-language support.** When handling request or response data, Elasticsearch DBMS lags behind. Though it’s perfectly combined with Cassandra DB to complement database performance, other languages and formats are not available for it. In these terms, it only supports JSON document format.

**Limited consistent health check tools.** When something goes wrong, as it may at any stage, Elasticsearch can only show status as “yellow” or “red.” Simply put, it has no reporting tools. Though issues are usually like memory threshold or disk capacity, DBA engineers complain about the situation.