Send data from Toggl to SQL Server
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Send Toggl Data to SQL Server Automatically
How to send Toggl data to SQL Server? Kondado provides a direct integration that replicates your time tracking information from Toggl directly into SQL Server without requiring any coding or complex ETL processes. Simply authenticate your Toggl account, configure your SQL Server destination, and select which data pipelines you want to replicate. The platform handles the data extraction and loading automatically, ensuring your database stays current with your latest time entries, projects, and client information on your chosen schedule.
Kondado is a data integration platform that connects Toggl to SQL Server, replicating time tracking data on a configurable schedule ranging from every 5 minutes to daily intervals, enabling automated reporting and analysis without manual data exports.
Once your Toggl data lands in SQL Server, you can build custom dashboards, perform advanced analytics on team productivity, or combine time tracking metrics with financial data from other sources to calculate project profitability. This automated pipeline eliminates manual CSV downloads and ensures your reports always reflect the most recent activity across all workspaces and projects, giving you immediate access to consolidated time tracking insights for better resource allocation decisions.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
Available Toggl Data in SQL Server
Available pipelines include Time Entries, Projects, and Workspaces: Users, giving you comprehensive visibility into how teams spend their hours across different assignments and organizational structures. With Time Entries data in SQL Server, you can analyze billable hours by client or project, identify productivity trends over time, and generate accurate invoices based on actual tracked time rather than estimates. The Projects pipeline enables budget tracking against actual hours spent, while Workspaces: Users data helps you monitor team capacity and workload distribution across your organization, allowing managers to optimize resource allocation and prevent burnout.
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Toggl data available for SQL Server
Available integrations
| Integration | Description |
|---|---|
| Clients | Includes fields such as client ID, name, and workspace ID, enabling efficient client management. |
| Groups | Contains information about group ID, name, and list of workspaces, facilitating project organization. |
| Projects | Presents data such as project ID, actual hours, status, and hourly rate, essential for tracking activities. |
| Projects: Groups | Includes unique identifiers for projects and groups, facilitating the association between them. |
| Projects: Users | Provides data such as user ID, labour cost, and hourly rate, allowing analysis of user performance in projects. |
| Tags | Contains information about tag ID, name, and workspace ID, facilitating the categorization of entries. |
| Tasks | Includes data such as task ID, status, and update timestamp, aiding in activity management. |
| Time Entries | Presents information such as entry ID, description, and duration in seconds, essential for time tracking. |
| Workspaces | Contains data about workspace ID and name, allowing for the organization of projects and teams. |
| Workspaces: Users | Includes information such as user ID, name, and workspace ID, facilitating user management across different workspaces. |
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How to send Toggl data to SQL Server
Sync data automatically — no code, no manual exports.
Connect your Toggl account
Authenticate your Toggl data source by providing your API credentials in the Kondado platform, granting access to your workspaces, projects, and time entries.
Configure SQL Server destination
Enter your SQL Server connection parameters including server address, database name, and authentication details to establish the target location for your replicated data.
Select pipelines and schedule
Choose which Toggl data pipelines to replicate, such as Time Entries and Projects, then set your preferred update frequency from every 5 minutes to daily.
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