MySQL Database to Cloud Storage

Automatically Export & Sync MySQL Database Data to Cloud Storage

MySQL Database
a black arrow pointing to the right
Cloud Storage
Full data sets
No code
No complicated flow charts
No triggers
Set up in under 3 minutes
No instructions needed

Data sets

All Rows

Built for Synchronization

This service is designed to help anyone continuously export (i.e. "sync") data from MySQL Database.

If you only need to export your data one time, check the website of MySQL Database 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 MySQL Database.
MySQL, the most popular Open Source SQL database management system, is developed, distributed, and supported by Oracle Corporation.

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.

Cloud Storage platforms like Google Cloud Storage, Azure Storage or Amazon S3.

File Formats

Integration Flow


Step 1

Select MySQL Database from the Data Source dropdown and Cloud Storage from the Data Destination dropdown.

Step 2

Authorize MySQL Database with your credentials using the Basic Authentication flow.

Step 3

Authorize Cloud Storage with your credentials using the Basic, OAuth or Service Account Authentication flow.

Step 4

Select your Data Set from the 1 Data Sets available using the dropdown.

Step 5

Click Flatten to sync your data.

Walkthrough Video

Extended Data Sources

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