FullStory to Google Cloud SQL for MySQL

Copy (ELT) FullStory data to Google Cloud SQL for MySQL in a few clicks and keep it up to date automatically.

How to Replicate FullStory Data to Google Cloud SQL for MySQL

Copying FullStory data to Google Cloud SQL for MySQL cannot be simpler. You just need to perform the following three simple steps.

Step 1

Specify necessary connection parameters for FullStory.

Step 2

Specify necessary connection parameters for Google Cloud SQL for MySQL.

Step 3

Select FullStory objects to replicate.

Powerful Replication Features

Automatic Schema Creation

You don’t need to prepare the Google Cloud SQL for MySQL database — Skyvia creates the tables, corresponding to the FullStory objects, in the data warehouse automatically.

Complete or Partial Replication

With Skyvia you can extract and load all the data from a FullStory object or disable loading for some FullStory object fields. You can also configure filters for data to replicate.

Optimized Data Loading

Skyvia combines a high-performance optimized batch data loading into Google Cloud SQL for MySQL with a granular, per-record data insertion and error logging in case of any errors.

True ETL — Data Import Tool

If you need more than just to copy data from FullStory to Google Cloud SQL for MySQL, you may use Skyvia’s powerful ETL functionality for FullStory and Google Cloud SQL for MySQL integration. Skyvia’s data import tools will correctly extract FullStory data, transform it, and load to Google Cloud SQL for MySQL when Google Cloud SQL for MySQL tables have different structure than FullStory objects. Moreover, Skyvia Data Import allows loading data in any direction, supporting Reverse ETL scenario.

Automation and Monitoring

Flexible Scheduling

Use flexible scheduling settings to automate replication

Detailed Logging

You can find detailed logs for each execution in the package Run History.

Email Notifications

Enable email notifications and always know if anything goes wrong.

Integrate FullStory and Google Cloud SQL for MySQL with minimal effort and in only a few clicks!