Timely to SQL Server

Copy (ELT) Timely data to SQL Server in a few clicks and keep it up to date automatically.

How to Replicate Timely Data to SQL Server

Copying Timely data to SQL Server cannot be simpler. You just need to perform the following three simple steps.

Step 1

Specify necessary connection parameters for Timely.

Step 2

Specify necessary connection parameters for SQL Server.

Step 3

Select Timely objects to replicate.

Powerful Replication Features

Automatic Schema Creation

You don’t need to prepare the SQL Server database — Skyvia creates the tables, corresponding to the Timely objects, in the data warehouse automatically.

Complete or Partial Replication

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

Change Data Capture

Skyvia not just copies Timely data to SQL Server once, it can keep your SQL Server database up-to-date with Timely automatically, ensuring you always have fresh data for data analysis without any user intervention.

Optimized Data Loading

Skyvia combines a high-performance optimized batch data loading into SQL Server 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 Timely to SQL Server, you may use Skyvia’s powerful ETL functionality for Timely and SQL Server integration. Skyvia’s data import tools will correctly extract Timely data, transform it, and load to SQL Server when SQL Server tables have different structure than Timely 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 Timely and SQL Server with minimal effort and in only a few clicks!