No-code pipeline · Toggl → SQL Server

Send data from Toggl to SQL Server

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From Toggl to SQL Server: managed, scheduled, no code.

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.

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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.

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.

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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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Replicated to SQL Server

Toggl data available for SQL Server

Tables Kondado writes into your SQL Server, on a schedule you control.

available pipelines

141

extractable fields

SQL Server

Destination

Available integrations

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.

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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Send data from Toggl to other destinations

Toggl > Looker Studio

Toggl > Power BI

Other visualizations

Toggl > Amazon S3

Toggl > BigQuery

Toggl > Excel

Toggl > Google Sheets

Toggl > MySQL

Toggl > PostgreSQL

Toggl > Redshift

Toggl > SQL Server

Choose a tool to visualize your Toggl data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Toggl > Airtable

Toggl > Alteryx

Toggl > Amazon Quicksight

Toggl > BIMachine

Toggl > Cortex

Toggl > Data Studio

Toggl > Geckoboard

Toggl > Grafana

Toggl > IBM Cognos Analytics

Toggl > Klipfolio

Toggl > Looker Studio

Toggl > Looker

Toggl > Looqbox

Toggl > Metabase

Toggl > Microstrategy

Toggl > Pentaho

Toggl > Power BI

Toggl > Qlik Cloud Analytics

Toggl > Qlik Sense

Toggl > Qlik

Toggl > QlikView

Toggl > Redash

Toggl > Superset

Toggl > Tableau

Toggl > BI TOTVS

Toggl > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Toggl data to SQL Server automatically

How does Kondado replicate Toggl data to SQL Server? ▼

Kondado connects to the Toggl API to extract your time tracking data and loads it directly into your SQL Server database. The process runs automatically on your configured schedule, pulling new and updated records from Toggl and inserting them into SQL Server without requiring manual intervention or file exports.

What Toggl data can I replicate to SQL Server? ▼

You can replicate ten different pipelines including Time Entries, Projects, Clients, Tasks, and Workspaces: Users. Each pipeline contains specific fields such as project hourly rates, task statuses, and user labor costs, allowing you to build comprehensive time tracking analytics in SQL Server.

How often does Toggl data update in SQL Server? ▼

Kondado updates your SQL Server database on a configurable schedule that you set during setup, with options ranging from every 5 minutes to daily intervals. This ensures your reports and dashboards reflect recent activity without overwhelming your database with constant queries.

Can I combine Toggl data with other sources in SQL Server? ▼

Yes, once Toggl data resides in SQL Server, you can join it with data from other pipelines such as financial systems, CRM platforms, or project management tools. Many users combine time tracking data with accounting software to calculate project profitability or with Power BI for advanced visualizations.

What format does Toggl data arrive in SQL Server? ▼

Toggl data arrives as structured relational records in SQL Server, with each pipeline populating distinct database objects containing standardized fields. The data maintains referential integrity with foreign keys linking Time Entries to Projects and Users, making it easy to write SQL queries for complex analysis.

Do I need coding skills to set up the Toggl to SQL Server pipeline? ▼

No coding is required to establish the connection between Toggl and SQL Server. Kondado provides a point-and-click interface where you authenticate your Toggl account, enter your SQL Server connection details, and select which data pipelines to replicate.

Can I send Toggl data to destinations other than SQL Server? ▼

Yes, Kondado supports multiple destinations including BigQuery, PostgreSQL, Google Sheets, and Looker Studio. You can create separate pipelines to send the same Toggl data to different destinations for various use cases across your organization.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days