Elasticsearch

Fast search and analytics for big data

ElasticsearchView Documentation
Category: ObservabilityType: Destination Available on: All Plans

Background

Elasticsearch is a distributed search and analytics engine designed for fast data retrieval and analysis. In a streaming ETL (Extract, Transform, Load) workflow, Elasticsearch serves as a powerful destination for storing and querying transformed data. Its ability to handle large datasets with low-latency search makes it ideal for powering real-time analytics, logging, and monitoring applications.

Use Cases

  • Searchable Data Repository: Load transformed streaming data into Elasticsearch to create a searchable index for real-time access.
  • Log and Event Analysis: Ingest logs or event data through ETL pipelines and use Elasticsearch to analyze system performance or detect anomalies.
  • Real-Time Dashboards: Connect Elasticsearch to visualization tools like Kibana to deliver real-time insights on operational metrics or user behavior.
  • Multi-Source Correlation: Aggregate data from multiple sources into Elasticsearch for unified search and analytics capabilities.

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