Common use cases for SQL API

The SQL API provides value across multiple scenarios including business intelligence reporting, ad-hoc data analysis, custom report development, and data lake integration.

You will find the SQL API particularly useful for scenarios that require direct access to ServiceNow data from external tools and platforms. The following use cases demonstrate how organizations leverage SQL API to enhance their data analysis and reporting capabilities.

Business Intelligence and Reporting

Connect your preferred BI tools to create dashboards and reports that combine ServiceNow data with information from your other business systems. You can build comprehensive views that span multiple data sources without copying ServiceNow data to external systems.

This use case enables you to integrate standard BI platforms such as Tableau, Power BI, Looker, and other ODBC/JDBC-compatible tools directly with your ServiceNow data, eliminating the need for data export or replication.

Ad-Hoc Data Analysis

Run exploratory queries to investigate trends, identify patterns, or troubleshoot issues with minimal impact on your ServiceNow instance's performance or requiring administrator intervention.

By writing targeted SQL queries, you can retrieve only the data you need, reducing network overhead on data pipeline and data transformation, and improving performance. The pass-through query support allows you to apply WHERE clauses, perform aggregations, and join multiple ServiceNow tables in a single query.

Custom Report Development

Build specialized reports using your organization's standard reporting tools and frameworks. You can maintain control over report design and scheduling while accessing live ServiceNow data.

The SQL API supports read-only operations that prevent unintended modifications to your ServiceNow records, ensuring that your analytical work cannot accidentally modify production data. This provides a secure environment for developing and executing custom reports.

Data Lake Integration

Access your ServiceNow data alongside other data sources in your data lake or warehouse. Merge your ServiceNow data with third-party datasets in your data lakes and analytical platforms for comprehensive analysis.

This integration capability eliminates data duplication by allowing you to query your ServiceNow data directly without replicating it to external repositories. You can combine data sources while maintaining data consistency and reducing storage overhead.