Databases · PostgreSQL
Connect PostgreSQL. Reliable data for applications and analysis.
PostgreSQL, often called Postgres, can receive and provide business data from APIs, files or other databases. onflAI makes business mapping and operating rules reviewable.
A CONCRETE EXAMPLE
What your requirement could look like.
“Transfer orders from our REST API into PostgreSQL. Update existing order statuses without creating duplicate order lines.”
Consistent order data for reporting and downstream applications.
Planning example, not a customer case study. Execution, scheduling and scope depend on connectivity, approval and plan.
01
Prepare access
- Identify the PostgreSQL version, host, port, database and schema. Confirm role permissions and the approved network path with the database team.
- Plan TLS with certificate and hostname verification. For the libpq client, verify-full is particularly relevant; other drivers require their equivalent settings.
- Use a separate integration account. Selected metadata and suitable anonymised samples are enough for configuration.
02
Define fields and rules
- Handle UUIDs, decimal values, timestamps and any JSON fields deliberately. Flexible JSON structures do not replace required business fields.
- Use order and line IDs for unique matching. Decide which status changes may overwrite existing values.
03
Check before production
- Include transactions, concurrent changes and missing foreign keys in testing. Related order headers and lines must not silently become inconsistent.
- Plan incremental queries and restart behaviour. Deletions need their own rule; a modification timestamp alone does not identify which record was removed.
How are PostgreSQL data updates controlled?
Data scope, update intervals and the handling of changes and deletions are specified and tested for your integration. This creates a defined data process. Full replication or change data capture are separate requirements that need their own planning.
Where onflAI helps
You describe the outcome and select the relevant data. AI assists with configuration, mapping and validation. Credentials remain separate and are processed in encrypted form by the platform. After review and human approval, IOnbrix executes the data process, not AI.
A validated configuration does not replace an end-to-end test with your systems. Verify network access, the correct business outcome and error behaviour before production.