Elasticsearch is a powerful search and analytics engine commonly used to store, search, and analyze

large volumes of data in real time. IBM Cloud's "Databases for Elasticsearch" service is specifically

designed for this purpose, allowing users to ingest, search, and analyze log data or other large

datasets to identify root causes of slowness or performance issues.

Why Databases for Elasticsearch? Elasticsearch is ideal for storing and analyzing logs due to its ability

to quickly index and query large amounts of data. It provides powerful search capabilities,

aggregations, and visualization tools that are well-suited for identifying performance bottlenecks and

troubleshooting.

Comparison with Other Options:

A (Databases for etcd): Not used for analytics or identifying performance issues.

B (Databases for Redis): Primarily an in-memory data store, not suitable for complex data analysis.

D (Cloudant): A NoSQL database service optimized for web and mobile applications, but not primarily

for analyzing log data.

Reference:

IBM Cloud Databases for Elasticsearch

IBM Cloud Architect Exam Study Guide