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Aggregations

:::{note} This section provides detailed reference information for aggregations.

Refer to Aggregations in the Explore and analyze section for overview, getting started and conceptual information. :::

Aggregations are a powerful framework that enables you to perform complex data analysis and summarization over indexed documents. They enable you to extract and compute statistics, trends, and patterns from large datasets.

{{es}} organizes aggregations into three categories:

  • Metric aggregations that calculate metrics, such as a sum or average, from field values.
  • Bucket aggregations that group documents into buckets, also called bins, based on field values, ranges, or other criteria.
  • Pipeline aggregations that take input from other aggregations instead of documents or fields.