Setup the Matatika platform to deliver and process your data in Elasticsearch in minutes.
Elasticsearch is a search and analytics engine.
Elasticsearch is a distributed, RESTful search and analytics engine designed to store, search, and analyze large volumes of data in real-time. It is commonly used for log analytics, full-text search, security intelligence, business analytics, and operational intelligence use cases. Elasticsearch is built on top of the Apache Lucene library and provides a scalable, fault-tolerant, and highly available solution for indexing and searching data. It also offers a wide range of features such as data visualization, machine learning, and security.
The protocol used to connect to Elasticsearch (e.g. http or https).
The hostname or IP address of the Elasticsearch server.
The port number used to connect to Elasticsearch.
The username used for authentication with Elasticsearch.
The password used for authentication with Elasticsearch.
The bearer token used for authentication with Elasticsearch.
The ID of the API key used for authentication with Elasticsearch.
The API key used for authentication with Elasticsearch.
The path to the SSL CA file used for secure connections to Elasticsearch.
The format used for indexing data in Elasticsearch.
The schema fields used for indexing data in Elasticsearch.
The metadata fields used for indexing data in Elasticsearch.
The stream maps used for indexing data in Elasticsearch.
The configuration settings for the stream maps used for indexing data in Elasticsearch.
Whether or not flattening is enabled for indexing data in Elasticsearch.
The maximum depth allowed for flattening nested data when indexing in Elasticsearch.
Collect and process data from 100s of sources and tools with Elasticsearch.