How does Kondado replicate Clockify data to BigQuery?

Kondado connects directly to the Clockify API using your authentication credentials to extract data from your selected pipelines. The platform then loads this information into your BigQuery dataset according to your configured schedule, maintaining data structure and relationships without requiring manual CSV uploads or custom scripts.

What Clockify data can I replicate to BigQuery?

Kondado offers two main pipelines for Clockify: Workspaces, which includes organizational settings, admin permissions, and billing configurations, and Projects, which contains project names, color codes, billable flags, hourly rates, and time estimates. You can select either or both pipelines depending on whether you need workspace-level analytics or detailed project profitability tracking.

How often does Clockify data update in BigQuery?

You configure the update frequency based on your reporting needs, with options ranging from every 5 minutes to daily or weekly schedules. This automated refresh ensures your BigQuery analyses reflect current time entries and project statuses without manual intervention.

Can I combine Clockify data with other sources in BigQuery?

Yes, once your Clockify data resides in BigQuery, you can join it with information from CRM systems, accounting software, or other project management tools. This allows you to correlate time tracking metrics with sales pipelines, invoice data, or resource allocation reports for comprehensive business intelligence.

What format does Clockify data take in BigQuery?

Kondado replicates Clockify data as structured datasets within your BigQuery environment, preserving field names like workspace IDs, project names, and hourly rates as separate columns. Each pipeline creates its own structured data that you can query using standard SQL, join with other datasets, or connect to visualization tools like Looker Studio and Power BI .

Do I need coding skills to send Clockify data to BigQuery?

No coding is required to establish the connection or maintain data flows between Clockify and BigQuery. Kondado's interface guides you through authenticating your Clockify account and selecting pipelines using a visual setup process, eliminating the need for API programming or SQL scripting to initiate data transfers.

Can I send Clockify data to destinations other than BigQuery?

Yes, Kondado supports multiple destinations including PostgreSQL , MySQL, Redshift, SQL Server, Amazon S3, Google Sheets , and Power BI , allowing you to route Clockify data to the storage or analytics platform that best fits your existing infrastructure.

Send data from Clockify to BigQuery

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Send Clockify Data to BigQuery Automatically

How to send Clockify data to BigQuery? Kondado provides a direct connection that replicates your time tracking information from Clockify to BigQuery without requiring manual exports or engineering resources. Simply authenticate your Clockify account as a data source, select the specific pipelines containing your Workspaces and Projects data, and configure your preferred update schedule from options ranging from every 5 minutes to daily intervals. Your time tracking metrics arrive in BigQuery automatically, properly structured and ready for immediate analysis and reporting alongside your other business data.

Kondado automatically replicates Clockify Workspaces and Projects data to BigQuery on a configurable schedule, enabling near-real-time analysis of time tracking metrics alongside other business data sources.

Once your Clockify data lands in BigQuery, you can join it with financial records, CRM data, or project management information to calculate project profitability, monitor team utilization rates, and create automated reports that update as new time entries flow in. This eliminates the need for manual spreadsheet manipulation and ensures your reports always reflect current billing hours and project status.

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Available Clockify Data in BigQuery

With Kondado’s Clockify pipelines, you gain immediate access to structured Workspaces and Projects data directly in your BigQuery environment. The Workspaces pipeline delivers organizational settings and administrative configurations, while the Projects pipeline contains billable status indicators, hourly rates, and time estimates essential for accurate financial planning. In BigQuery, you can combine these datasets to calculate actual versus estimated hours, track revenue per project based on configurable billable rates, identify which workspaces generate the most profitable client work, and build custom reports that automatically refresh as your team logs new time entries.

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Clockify data available for BigQuery

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 BigQuery

Sync data automatically — no code, no manual exports.

Connect Your Clockify Account

Authenticate your Clockify workspace by providing your API credentials in Kondado's data source configuration panel to establish the initial connection.