All Monitor Templates

Sifflet offers the following monitor templates:

Monitor Template	Category	Application	Description
Volume	Table-level Health	Table	Counts newly ingested rows and alerts on anomalous behavior.
Row-level Duplicates	Table-level Health	Table	Computes the duplication rate [%] on a row-level and compares it to the expected value based on past behavior.
Freshness	Table-level Health	Table	Verifies whether new rows have been ingested into your table following the expected pattern.
Freshness (Update Time Gap)	Table-level Health	Table	The monitor fails when the duration since the last update deviates from historical norms.
Schema Change	Table-level Health	Table	Detects any change to the schema: new fields, removed fields, existing fields with updated types or names.
Metrics	Metrics	Fields: Numeric	The monitor detects changes in an aggregated metric of a field (e.g., sum).
Custom Metrics	Metrics	Table	The monitor fails if the time series returned by the query behaves differently from how it did in the past.
Correlated Metrics	Metrics	Fields: Numeric	The monitor fails if defined metrics diverge significantly from one another.
Distribution Change	Field Profiling	Fields: All	The monitor fails if the distribution of a given field has changed abnormally compared to a previous run.
Duplicates	Field Profiling	Fields: All	The monitor detects anomalies regarding the count of duplicates for a column or a set of columns.
Unique	Field Profiling	Fields: All	A simplified version of the Duplicates monitor that fails if a column or set of columns is not unique.
Nulls	Field Profiling	Fields: All	The monitor detects anomalies regarding the count of nulls/empties in a column or a set of columns.
Value List Validation	Field Profiling	Fields: String	The monitor fails if the chosen field has values that are not present in the given list.
Value Range Validation	Field Profiling	Fields: Numeric	The monitor fails if the chosen field has any values outside of a given range.
Referential Integrity	Field Profiling	Fields: All	The monitor fails if values in one table are not present in the other table.
Is an Email	Format Validation	Fields: String	The monitor fails if the chosen field contains at least one row that does not have an email format.
Is a Phone Number	Format Validation	Fields: String	The monitor fails if the chosen field contains at least one row that does not have a phone number format. It checks for 6 to 16 digits and accepts the following characters: +, -, (, )
Is UUID	Format Validation	Fields: String	The monitor fails if the chosen field contains at least one row that does not have a UUID format.
Matches Regex	Format Validation	Fields: String	The monitor fails if the selected field contains at least one row that does not match the format specified by the given regular expression.
SQL Query	Custom	Table	An advanced template to write custom monitors based on business specifics. The SQL query must describe a quality breach on one or more tables within the same data source.
No-Code Condition	Custom	Table	Like the SQL Query template, this template lets you write custom monitors based on business use cases. With conditional statements, you do not need any SQL syntax. The monitor fails if values are found inside the filtering criteria set by conditional rules.
SQL Condition	Custom	Table	This template is similar to the SQL Query template, but instead of specifying the entire SQL query, you only specify the condition (boolean). This way, you can use complex SQL conditions while benefiting from Sifflet features such as incremental scans and the lookback period.