No-code pipeline · Toggl → PostgreSQL

Send data from Toggl to PostgreSQL

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From Toggl to PostgreSQL: managed, scheduled, no code.

Kondado provides a direct integration that automatically replicates Toggl time tracking data to PostgreSQL on a configurable schedule ranging from every 5 minutes to daily, making time entry records, project details, and workspace information available for SQL analysis and business intelligence workflows.

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Replicate Toggl Data to PostgreSQL Automatically

Connect your time tracking information to a powerful analytical database using Kondado’s no-code platform. To send Toggl data to PostgreSQL, authenticate your Toggl data source and select PostgreSQL as your destination. The platform replicates your time entries, projects, and client information on a configurable schedule, eliminating manual CSV exports and enabling immediate SQL-based analysis.

Once your data arrives in PostgreSQL, you can combine Toggl time entries with financial data from accounting systems or project management metrics from other platforms. This enables agency analysts to calculate accurate client profitability, track team utilization rates, and generate custom reports using SQL queries or business intelligence tools like Power BI and Looker Studio.

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Kondado offers 10 distinct pipelines including Time Entries, Projects, and Clients, allowing you to analyze exactly what you need. The Time Entries pipeline captures duration in seconds and descriptions, enabling precise billing calculations and productivity analysis directly in your database. Combine this with the Projects pipeline containing hourly rates and actual hours logged, plus the Clients pipeline with workspace associations, to build comprehensive profitability dashboards that show which clients and projects generate the most revenue per hour worked.

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Replicated to PostgreSQL

Toggl data available for PostgreSQL

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

available pipelines

141

extractable fields

PostgreSQL

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 PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Toggl Account

Authenticate your Toggl data source by providing your API credentials through Kondado's interface, granting access to your time tracking information.

Configure PostgreSQL Destination

Enter your PostgreSQL connection details including host, database name, and credentials to establish the target location for your replicated data.

Select Pipelines and Schedule

Choose which Toggl 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 PostgreSQL automatically

How does Toggl to PostgreSQL replication work with Kondado? ▼

Kondado uses a direct integration to extract data from your Toggl account and load it into your PostgreSQL database on a configurable schedule. You authenticate your Toggl credentials, select which pipelines you want to replicate, and define how frequently the data should refresh. The platform handles the data transformation and schema creation automatically, delivering structured time tracking information ready for SQL queries.

What Toggl data can I replicate to PostgreSQL? ▼

You can replicate 10 different pipelines including Time Entries, Projects, Clients, Tasks, Tags, Groups, Workspaces, and user associations. Each pipeline contains specific fields such as duration in seconds, hourly rates, project status, and workspace IDs, giving you granular access to time tracking metrics. This comprehensive coverage allows you to analyze everything from individual task completion to client-level billing efficiency.

How often does Kondado update Toggl data in PostgreSQL? ▼

Kondado updates your PostgreSQL database on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. You select the frequency based on your analysis needs, whether you need near-real-time visibility for active project monitoring or daily batches for periodic reporting. The automated process ensures your time tracking data stays current without manual intervention.

Can I combine Toggl time tracking data with other sources in PostgreSQL? ▼

Yes, once Toggl data resides in PostgreSQL, you can join it with information from other data sources such as accounting software, CRM systems, or additional project management tools. This enables cross-functional analysis like correlating time spent with invoice amounts or comparing Toggl hours against project budgets stored in other databases. You can also send this combined data to Power BI, Looker Studio, or Google Sheets for visualization.

What format does Toggl data take when replicated to PostgreSQL? ▼

Toggl data replicates into PostgreSQL as structured relational tables with preserved data types, where time entries become timestamped records and projects appear as dimension tables with attributes like hourly rates and status. The schema maintains relationships between entities through foreign keys, such as linking time entries to specific projects and clients. This structure supports complex SQL joins and aggregations for custom reporting and analysis workflows.

Do I need coding skills to set up the Toggl PostgreSQL connection? ▼

No coding is required to establish the connection between Toggl and PostgreSQL using Kondado's no-code platform. The interface guides you through authenticating your Toggl account and configuring your PostgreSQL destination using connection details. You simply select which pipelines to activate and set your preferred update schedule through the visual interface.

Can I analyze Toggl data in PostgreSQL using BI tools? ▼

Yes, after replicating Toggl data to PostgreSQL, you can connect business intelligence tools like Power BI, Looker Studio, or BigQuery to create custom dashboards and reports. The structured data format in PostgreSQL supports complex SQL queries for calculating utilization rates, project profitability, and client billing efficiency. This flexibility allows both technical analysts and business users to derive actionable insights from time tracking metrics.

Try out all the features for free for 14 days

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Try out all the features for free for 14 days