How does Kondado replicate Clockify data to PostgreSQL?

Kondado connects directly to the Clockify API and your PostgreSQL instance, extracting workspace and project data through automated pipelines. The platform loads this information into your database on your chosen schedule, handling data type mapping and schema creation without manual intervention.

What specific Clockify information gets stored in PostgreSQL?

The replication includes comprehensive workspace configuration details and project metadata such as billing rates, time estimates, and administrative access levels. This granular dataset supports complex SQL analysis for payroll automation, project budgeting, and resource allocation planning within your PostgreSQL environment.

How frequently can I update Clockify data in my PostgreSQL database?

Kondado offers flexible scheduling options ranging from every 5 minutes to daily updates, allowing you to balance data freshness with system load. You configure the frequency per pipeline based on whether you need near-real-time project tracking or periodic reporting snapshots.

Can I merge Clockify time tracking data with other business systems in PostgreSQL?

Yes, once Clockify data resides in PostgreSQL, you can join it with CRM records, financial data from accounting software, or HR information. This unified view supports comprehensive analysis across departments, especially when feeding combined datasets to Power BI or Looker Studio .

What database schema does Kondado create for Clockify data in PostgreSQL?

Kondado generates dedicated tables for each pipeline you activate, preserving Clockify's field relationships and data types. The schema includes standard columns like IDs and timestamps alongside Clockify-specific fields such as billable indicators and time estimates, ready for immediate SQL querying.

Do I need technical expertise to connect Clockify to PostgreSQL using Kondado?

No coding is required to establish the connection, you simply authenticate your Clockify account and provide PostgreSQL credentials through the interface. The platform manages API pagination, data transformation, and load processes automatically, making the setup accessible to analysts and operations teams.

Can I analyze Clockify data in PostgreSQL alongside data from Google Sheets?

Absolutely, PostgreSQL serves as a central repository where Clockify time entries can be joined with budget spreadsheets or resource planning documents from Google Sheets . This combination allows you to compare tracked hours against planned budgets and forecast resource needs accurately.

Send data from Clockify to PostgreSQL

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Send Clockify Data to PostgreSQL Automatically

Kondado provides a direct connection between Clockify and PostgreSQL, allowing you to replicate time tracking data without writing code. Simply connect your Clockify account, configure your PostgreSQL destination, and select which pipelines you want to replicate. The platform handles the data transfer on a configurable schedule, updating your database every 5 minutes, hourly, or daily based on your business needs. Once configured, your time tracking data flows automatically into PostgreSQL where you can run SQL queries and build custom analytics. This automated pipeline eliminates manual CSV exports and ensures your time tracking records stay synchronized with your business intelligence workflows, enabling faster payroll processing and project cost analysis.

Kondado replicates Clockify Workspaces and Projects data to PostgreSQL on a configurable schedule, creating structured tables with 115 fields including workspace settings, project billing rates, time estimates, and administrative permissions.

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Available Clockify Data in PostgreSQL

The Workspaces pipeline captures organizational structure including week start times, administrative permissions, and hourly rates, while the Projects pipeline delivers billable status, color coding, and time estimate details directly into your PostgreSQL database. With this data in PostgreSQL, you can join Clockify time entries with financial records to calculate project profitability, automate client invoicing based on billable hours, and create custom dashboards in Looker Studio or Power BI that update automatically as teams log their hours. This centralized data approach helps agencies track utilization rates and forecast resource needs with greater accuracy.

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Clockify data available for PostgreSQL

available pipelines

115

extractable fields

Available integrations

Integration	Description
Workspaces	Includes fields such as id, name, and admin permissions, along with settings like week start time and hourly rate.
Projects	Contains information such as id, name, color, and whether the project is billable, along with details about time estimate and hourly rate.

Workspaces

Includes fields such as id, name, and admin permissions, along with settings like week start time and hourly rate.

Projects

Contains information such as id, name, color, and whether the project is billable, along with details about time estimate and hourly rate.

See all available data →

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How to send Clockify data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Your Clockify Account

Authenticate your Clockify workspace by providing API credentials through Kondado's interface, granting access to your time tracking data without technical setup.

Configure PostgreSQL Destination

Enter your PostgreSQL connection details including host, port, and database name to establish where your Clockify data will reside.

Select Pipelines and Schedule

Choose which Workspaces and Projects pipelines to activate and set your preferred update frequency, from 5-minute intervals to daily replication, to match your reporting requirements.

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