Connect Oracle NetSuite to PostgreSQL
Send Oracle NetSuite contacts, invoices, tasks and 101 more data types to PostgreSQL on a schedule. Filter by date. Refresh as often as every 15 minutes.
netsuite
contactinvoicetaskaccountobjects- 99 more data types
How to connect Oracle NetSuite and PostgreSQL
6 steps. You can preview the Oracle NetSuite data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 6
Connect Oracle NetSuite
Enter your Oracle NetSuite realm (account id), consumer key, consumer secret, token key (token id) and token secret. You only do this once per account.
Step 2 of 6
Choose a data type
Pick the kind of Oracle NetSuite data to export.
Show 32 more data types Show fewer data types
And 64 more data types.
Step 3 of 6
Choose what to export
Pick the Oracle NetSuite data you want in PostgreSQL.
Show 32 more data types Show fewer data types
And 64 more data types.
Step 4 of 6
Fine-tune the export
Optional settings for this Oracle NetSuite export.
Step 5 of 6
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the Oracle NetSuite data.
Show 3 more fields Show fewer fields
Step 6 of 6
Choose a write mode and schedule
Every run either replaces or appends the data in PostgreSQL. Run it as often as every 15 minutes.
Each run deletes the existing rows in contact and loads fresh Oracle NetSuite data.
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104 data types, including Contact, Invoice, Task, Account and Objects.
With your Oracle NetSuite realm (account id), consumer key, consumer secret, token key (token id) and token secret, entered once when you add the connection.
Yes. Set the start date to cover the period you need.
Yes, if the database user has CREATE privileges. Coupler.io creates the netsuite schema and the contact table on the first run.
Yes. Append adds new rows to contact on each run, while Replace swaps in a fresh copy. With Append, add new Oracle NetSuite columns to the table yourself before the next run.
On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.
Yes. Add more sources to the same data flow, for example 100ms or Amazon Seller Central, and join or append them before the data reaches PostgreSQL.