Sage HR to Amazon S3

Automatically Export & Sync Sage HR Data to Amazon S3

Sage HR
a black arrow pointing to the right
Amazon S3
Full data sets
No instructions needed
No code
No complicated flow charts
No triggers
Set up in under 3 minutes
Flat pricing starting at $19 /month

Data sets

Employees
Positions

Built for Synchronization

This service is designed to help anyone continuously export (i.e. "sync") bulk data from Sage HR.

If you only need to export your data one time, check the website of Sage HR to see if their service offers a one-time export feature natively. Sometimes a Data Source's native export feature may provide not as much data as its API does, in which case Flatly is the solution.

Additional Information

Flatly uses official API channels to provide an integration with Sage HR.
Sage HR is a cloud-based human resource management solution that integrates core features like 360 feedback, workforce management, performance appraisal, and attendance tracking.
Scopes

Flatly's access to Plaid and Plaid's downstream connected financial institutions is read-only access to text. It is limited to account data (words, numbers, dates). It does not include any money-movement, transfer capabilities or account holder profiles/identities.

Plaid alone interfaces directly with financial institutions, caches data from those institutions on Plaid infrastructure, and then makes the appropriate scoped subset of that data available to partners like Flatly using secure connections called client libraries.

Amazon S3 storage buckets.

File Formats

XLSX (Parsed)
XLSX (Raw)
CSV File

Integration Flow

Setup

Step 1

Select Sage HR from the Data Source dropdown and Amazon S3 from the Data Destination dropdown.

Step 2

Authorize Sage HR with your credentials using the OAuth flow.

Step 3

Authorize Amazon S3 with your credentials using the Access Key flow.

Step 4

Select your Data Set from the 2 Data Sets available using the dropdown.

Step 5

Click Flatten to sync your data.

Walkthrough Video

Extended Data Sources

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