Is Elasticsearch an ETL tool?

No, Elasticsearch is not an ETL tool. It is a free and open-source search engine for text, numeric, geospatial, structured, and unstructured data.

Elasticsearch is mostly used in business intelligence, security intelligence, and operational intelligence. There are separate ETL tools available for Elasticsearch. A few of these tools are Hevo Data, Logstash, Apache NiFi, Apache Spark, StreamSets, CloverDX.

Elasticsearch is a distributed, open-source search and analytics engine that can handle textual, numerical, geographical, structured, and unstructured data. Elasticsearch was first released in 2010 by Elasticsearch N.V. and is based on Apache Lucene (now known as Elastic). Elasticsearch is the key component of the Elastic Stack, a suite of free and open tools for data intake, enrichment, storage, analysis, and visualization. It is known for its easy REST APIs, distributed nature, speed, and scalability.

Elasticsearch is a database that has its foundation built on documentation. It is an open-source tool that can be a universal source for unstructured and structured data. The tool is ideal for handling massive data amounts. Therefore, it is considered a scalable and swift option. On the other hand, ETL is an extract, transfer, and load program that stores logs within Elasticsearch. For that reason, we can say both these terms are different.