Aggregation reference
editAggregation reference
editKibana supports many types of Elasticsearch aggregations that you can use to build complex summaries of your data.
By using a series of Elasticsearch aggregations to extract and process your data, you can create panels that tell a story about the trends, patterns, and outliers in your data.
Bucket aggregations
editFor information about Elasticsearch bucket aggregations, refer to Bucket aggregations.
Type | Visualizations | Data table | Markdown | Lens | TSVB |
---|---|---|---|---|---|
Histogram |
X |
X |
X |
||
Date histogram |
X |
X |
X |
X |
X |
Date range |
X |
X |
X |
||
Filter |
X |
X |
X |
X |
|
Filters |
X |
X |
X |
X |
|
GeoHash grid |
X |
X |
X |
||
IP range |
X |
X |
X |
||
Range |
X |
X |
X |
||
Terms |
X |
X |
X |
X |
X |
Significant terms |
X |
X |
X |
X |
Metrics aggregations
editFor information about Elasticsearch metrics aggregations, refer to Metrics aggregations.
Type | Visualizations | Data table | Markdown | Lens | TSVB |
---|---|---|---|---|---|
Average |
X |
X |
X |
X |
X |
Sum |
X |
X |
X |
X |
X |
Unique count (Cardinality) |
X |
X |
X |
X |
X |
Max |
X |
X |
X |
X |
X |
Min |
X |
X |
X |
X |
X |
Percentiles |
X |
X |
X |
X |
|
Percentiles Rank |
X |
X |
X |
X |
|
Top hit |
X |
X |
X |
X |
|
Value count |
X |
Pipeline aggregations
editFor information about Elasticsearch pipeline aggregations, refer to Pipeline aggregations.
Type | Visualizations | Data table | Markdown | Lens | TSVB |
---|---|---|---|---|---|
Avg bucket |
X |
X |
X |
X |
|
Derivative |
X |
X |
X |
X |
|
Max bucket |
X |
X |
X |
X |
|
Min bucket |
X |
X |
X |
X |
|
Sum bucket |
X |
X |
X |
X |
|
Moving average |
X |
X |
X |
X |
|
Cumulative sum |
X |
X |
X |
X |
|
Bucket script |
X |
||||
Serial differencing |
X |
X |
X |
X |