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How do bucket patterns optimize time-series data in MongoDB?

Expert MongoDB
Quick Answer Bucket pattern for time-series: instead of one document per sensor reading, group N readings (e.g., 1 hour of data) into one document with an array. Reduces document count dramatically, better compression, fewer index entries. Example: {sensorId, hour, readings: [{min: 0, val: 22.5}, ...]}. MongoDB 5.0+ has native time-series collections that implement this pattern automatically.

Answer

Buckets group time-series events into ranges, reducing document count and index overhead. Native time-series collections use similar internal bucketing.
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