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manage-data/data-store/data-streams/time-series-data-stream-tsds.md

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## When to use a time series data stream [when-to-use-tsds]
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_Metrics_ consist of data point–timestamp pairs, identified by [dimension fields](#time-series-dimension) that can be used in aggregation queries. Both a regular data stream and a time series data stream can store metrics data.
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_Metrics_ consist of data point–timestamp pairs, identified by [dimension fields](#time-series-dimension), that can be used in aggregation queries. Both a regular data stream and a time series data stream can store metrics data.
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Choose a time series data stream if you typically add metrics data to {{es}} in near real-time and in `@timestamp` order. For other timestamped data, such as logs or traces, use a [logs data stream](logs-data-stream.md) or [regular data stream](/manage-data/data-store/data-streams.md).
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Choose a time series data stream if you typically add metrics data to {{es}} in near real-time and in `@timestamp` order. For other timestamped data, such as logs or traces, use a [logs data stream](logs-data-stream.md) or a [regular data stream](/manage-data/data-store/data-streams.md).
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To make sure a TSDS is right for your use case, review the list of [differences from a regular data stream](#differences-from-regular-data-stream) on this page.
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