Common use cases for SQL API
The SQL API supports business intelligence reporting, ad-hoc data analysis, and custom report development.
The SQL API is particularly useful for scenarios that require direct access to ServiceNow data from external tools and platforms. These use cases demonstrate how organizations use 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, 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. No administrator intervention is required.
By writing targeted SQL queries, you can retrieve only the data you need. This reduces network overhead and improves performance. The pass-through query support enables 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 avoid unintended modifications to your ServiceNow records. This confirms that your analytical work can't accidentally modify production data. This helps provide a secure environment for developing and executing custom reports.
External data source integration
SQL API is designed with built-in limits to keep your ServiceNow instance running smoothly. You can use it to query specific data and integrate it with other data sources, as long as you stay within these limits.