NetSuite Objects SuiteQL

This NetSuite Objects SuiteQL pipeline can be used to access NetSuite records by executing SuiteQL queries. SuiteQL is a query language based on the SQL database query language. SuiteQL provides advanced dynamic query capabilities that can be used to access NetSuite records.

Read more about the NetSuite Objects SuiteQL pipeline here

Configuring the Credentials

Select the account credentials which has access to relevant Everflow data from the dropdown menu & Click Next

Credentials not listed in dropdown ?

Click on + Add New for adding new credentials

Data Pipelines Details

Data Pipeline

Select NetSuite Objects SuiteQL from the dropdown

netsuite netsuite objects suiteql list

Select the desired objects for which you wish to retrieve data.

Setting Parameters

Parameter Description Values

Fetch Mode


Specifies the manner in which data will fetched from the NetSuite API : FULL will fetch the entire object and INCREMENTAL will only fetch the new records after the latest update.


Default Value: INCREMENTAL

Incremental Key Dependant

Required (If Fetch Mode = Incremental)

Choose the field which will serve as Incremental key.

Select Incremental Key

Insert Mode


This refers to the manner in which data will get updated in the data warehouse, with 'Upsert' selected, the data will be upserted (only new records or records with changes) and with 'Append' selected, all data fetched will be inserted. Selecting 'Replace' will ensure the table is dropped and recreated with fresh data on each run. Recommended to use "Upsert" option unless there is a specific requirement.

Upsert, Append, Replace

Default Value: Upsert

Upsert Key

Dependent Required (If Insert Mode = Upsert)

Specify comma separated Upsert Keys based on which data is to be upserted.

'Upsert Key'

netsuite netsuite objects suiteql config

Datapipeline Scheduling

Scheduling specifies the frequency with which data will get updated in the data warehouse. You can choose between Manual Run, Normal Scheduling or Advance Scheduling.

Manual Run

If scheduling is not required, you can use the toggle to run the pipeline manually.

Normal Scheduling

Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.

Advance Scheduling

Set schedules fine-grained at the level of Months, Days, Hours, and Minutes.

Detailed explanation on scheduling of pipelines can be found here

Dataset & Name

Dataset Name

Key in the Dataset Name(also serves as the table name in your data warehouse).Keep in mind, that the name should be unique across the account and the data source. Special characters (except underscore _) and blank spaces are not allowed. It is best to follow a consistent naming scheme for future search to locate the tables.

Dataset Description

Enter a short description (optional) describing the dataset being fetched by this particular pipeline.


Choose the events for which you’d like to be notified: whether "ERROR ONLY" or "ERROR AND SUCCESS".

Once you have finished click on Finish to save it. Read more about naming and saving your pipelines including the option to save them as templates here

Still have Questions?

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