ELT/CDC: Available Metrics Types - Integrate.io

	Metric Level	Data Type	Description
Nulls	Table	All Types	The count of rows with a null value in the column e.g. Sample dataset: Null Null 23 Metric value: 2
Count	Table	All Types	The total number of rows in a table e.g. Sample dataset: 78 6 89 23 45 Metric value: 5
Cardinality	Table	All Types	The count of distinct elements in the column. This metric should be used when you expect a fixed number of value options e.g. Sample dataset: Cat Dog Cat Metric value: 2
Duplicate	Table	All Types	The count of rows with a duplicate value in the column (excluding the unique value). eg Sample dataset: Apple Apple Pear Pear Banana Pear Metric value: 3 Apple has 1 duplicate, Pear has 2 duplicates, result is 3
Min	Table	Numeric	The minimum value of the column e.g. Sample dataset: 78 6 89 23 45 Metric value: 6
Max	Table	Numeric	The maximum value of the column e.g. Sample dataset: 78 6 89 23 45 Metric value: 89
Median	Table	Numeric	The median of the column. The median is computed as the 50th percentile, and will only return a value that is in the dataset e.g. Sample dataset: 78 6 89 23 45 Metric value: 45
Skewness	Table	Numeric	The statistical skew of the column. The skew is used to determine how evenly the values are distributed about the mean e.g. Sample dataset: 78 6 89 23 45 Metric value: 0.0303028253
Variance Sample	Table	Numeric	The variance of a column from its sample mean. This should be used to calculate the variance when the data represents a sample taken from a larger data set e.g. Sample dataset: 78 6 89 23 45 Metric value: 1244.7
Variance Population	Table	Numeric	The variance of a column from its population mean. This should be used to calculate the variance when the data represents the entire data set e.g. Sample dataset: 78 6 89 23 45 Metric value: 995.76
Geometric Mean	Table	Numeric	The geometric mean of a column e.g. Sample dataset: 78 6 89 23 45 Metric value: 33.644590126644
Freshness (hrs)	Table	Date Timestamp	The difference in hours of the maximum value of the column and the metric’s collection time. Sample dataset in UTC (Metric collected at 2022-12-07 03:48:00 UTC): 2022-12-06 05:24:26 2022-12-07 01:33:36 2022-12-07 00:33:44 Metric value: 2.24
Sync Lag	Pipeline	NA	The Sync Lag metric measures the difference between the source data and the pipeline in megabytes (MB), providing a real-time indicator of pipeline performance. A high sync lag value (typically above 100MB, depending on pipeline load) may indicate abnormal pipeline behavior.
Replication Delay	Pipeline	NA	The Replication Delay metric measures the time, in minutes, since the pipeline last copied data from the intermediary storage (S3) to the destination. It provides a clear indicator of how timely data replication is occurring.

Last modified on October 5, 2026