Which destination can be used to store and retrieve data in real time?

The most suitable destination for storing and retrieving data in real time is Elasticsearch. Elasticsearch is a powerful search engine built on top of the Apache Lucene library, designed to provide quick and efficient searching and data retrieval capabilities. It is specifically optimized for indexing large volumes of data and supports real-time data analysis and search functionality.

This makes Elasticsearch particularly valuable in scenarios where immediate access to data insights is necessary, such as monitoring logs, performing analytics, or executing complex queries on datasets that are rapidly changing. The capacity to ingest data in real time allows users to continuously update their analyses and obtain results almost instantaneously.

Conversely, while Amazon Web Services (AWS) S3 is an excellent choice for large-scale data storage, it is optimized for durability and scalability rather than real-time access. S3 is designed for batch processing and retrieval of objects, which may lead to latency that is not suitable for real-time use cases. Other options like email and file storage also do not provide the quick retrieval and processing capabilities required for real-time data needs.