PLAN AN INTEGRATION
Connect a REST API to SQL: from endpoint to data process.
An API supplies data and a SQL database should make it reliably usable. The essentials go beyond a URL and table: selection, mapping, updates and error handling matter.
Describe the requirement
For example: “Transfer approved orders from our REST API into the reporting table. Update existing orders using their ID.” This captures the business outcome, selection rule and intended write behaviour.
Understand the source
Check the endpoint, payload structure, permissions and request limits. Does the API return multiple pages or only changes since a timestamp? These properties must be understood before processing an entire dataset reliably.
Define the target model
Which SQL database and version are in use? Which columns, types and unique keys are required? Dates, currencies, nested objects and empty values need explicit rules. Automatic mapping does not replace a business review.
What onflAI contributes
onflAI supports configuration, visible mapping and AI validation. Credentials remain separate. People approve; IOnbrix executes. The actual API and database connection must be confirmed for your case.
Test edge cases
Check a normal record, a repeated order, a missing required field and an unreachable source. Decide which failures need correction. Retry and duplicate handling are requirements to define, not blanket promises for every connection.
Scheduling and costs
Scheduled retrieval needs a suitable plan and must respect API limits and data volume. The simulator compares a single-integration scenario; it does not confirm compatibility or actual project effort.
- Check the source
- Review mapping
- Accept a test run
- Assign operations