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Sifflet integrates to your entire data stack

Add the missing layer to your data stack. Seamlessly integrate to your data sources and preferred tools.

GCP AlloyDB
GCP AlloyDB
Amazon Athena
Amazon Athena
Amazon Quicksight
Amazon Quicksight
Amazon Redshift
Amazon Redshift
Amazon S3
Amazon S3
Apache Airflow
Apache Airflow
Apache Hive
Apache Hive
Atlassian Jira
Atlassian Jira
Azure Synapse
Azure Synapse
BigQuery
BigQuery
GCP Cloud SQL
GCP Cloud SQL
Databricks
Databricks
dbt
dbt
Firebolt
Firebolt
Fivetran
Fivetran
GitHub
GitHub
GitLab
GitLab
Looker
Looker
Microsoft SQL Server
Microsoft SQL Server
MicroStrategy
MicroStrategy
MySQL
MySQL
Oracle
Oracle
PagerDuty
PagerDuty
PostgreSQL
PostgreSQL
Power BI
Power BI
Prefect
Prefect
Qlik
Qlik
Servicenow
Servicenow
Sigma
Sigma
Slack
Slack
Snowflake
Snowflake
Tableau
Tableau
Teams
Teams
Amazon Athena
Amazon Athena
Amazon Redshift
Amazon Redshift
Amazon S3
Amazon S3
Apache Hive
Apache Hive
Azure Synapse
Azure Synapse
BigQuery
BigQuery
Databricks
Databricks
Firebolt
Firebolt
Snowflake
Snowflake
Amazon Quicksight
Amazon Quicksight
Looker
Looker
MicroStrategy
MicroStrategy
Power BI
Power BI
Qlik
Qlik
Sigma
Sigma
Tableau
Tableau
Apache Airflow
Apache Airflow
dbt
dbt
Fivetran
Fivetran
Prefect
Prefect
GCP AlloyDB
GCP AlloyDB
GCP Cloud SQL
GCP Cloud SQL
Microsoft SQL Server
Microsoft SQL Server
MySQL
MySQL
Oracle
Oracle
PostgreSQL
PostgreSQL
Atlassian Jira
Atlassian Jira
PagerDuty
PagerDuty
Servicenow
Servicenow
Slack
Slack
Teams
Teams
GitHub
GitHub
GitLab
GitLab

Comprehensive data and metadata monitoring

Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics

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Full data stack level lineage with column-level detail

Exhaustive mapping of all dependencies between assets, from ingestion to BI

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