Clockodo connector

Set up the Clockodo connector in Kaivo: authentication, configuration, the 17 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated 15 days ago

Kaivo is a fully managed data platform that syncs your Clockodo data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your HR data instead of moving it.

What is the Clockodo connector

Sync your Clockodo time tracking data into BigQuery with Kaivo to analyse hours, absences, and project profitability.

Category	HR, Project Management
Authentication	API key
Setup	Self-service

Getting started with the Clockodo connector

Sign up for Kaivo and create a workspace.
Connect your Clockodo account.
Choose which tables to sync.
Wait for the initial sync to finish.
Query your data in BigQuery or your favourite AI or BI tool.

Authenticating Clockodo

Authenticate with your API Key.

Field	Description
API Key	API key to use. Find it in the 'Personal data' section of your Clockodo account.

Configuring the Clockodo connector

When you set up the connector, you provide:

Field	Description
Email Address	Your Clockodo account email address. Find it in your Clockodo account settings.
Years	List of years to sync data for, e.g. 2024, 2025.
Start Date	Any data before this date will not be fetched.

Tables and columns synced from Clockodo

Kaivo syncs 17 tables from Clockodo into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

absences (11 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`type`	`FLOAT64`
`approved_by`	`FLOAT64`
`count_days`	`FLOAT64`
`date_approved`	`STRING`
`date_since`	`STRING`
`date_until`	`STRING`
`id`	`FLOAT64`
`status`	`FLOAT64`
`users_id`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

customers (8 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`active`	`BOOL`
`billable_default`	`BOOL`
`color`	`FLOAT64`
`id`	`FLOAT64`
`name`	`STRING`
`test_data`	`BOOL`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

customers_projects (6 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`add`	`BOOL`
`edit`	`BOOL`
`report`	`JSON`
`user_id`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

entries (25 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`type`	`FLOAT64`
`billable`	`FLOAT64`
`clocked`	`BOOL`
`clocked_offline`	`BOOL`
`customers_id`	`FLOAT64`
`duration`	`FLOAT64`
`hourly_rate`	`FLOAT64`
`id`	`FLOAT64`
`lumpsum`	`FLOAT64`
`lumpsum_services_amount`	`FLOAT64`
`lumpsum_services_id`	`FLOAT64`
`projects_id`	`FLOAT64`
`services_id`	`FLOAT64`
`test_data`	`BOOL`
`text`	`STRING`
`texts_id`	`FLOAT64`
`time_clocked_since`	`STRING`
`time_insert`	`STRING`
`time_last_change`	`STRING`
`time_last_change_work_time`	`STRING`
`time_since`	`STRING`
`time_until`	`STRING`
`users_id`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

holidays_carry (7 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`count`	`FLOAT64`
`id`	`FLOAT64`
`note`	`STRING`
`users_id`	`FLOAT64`
`year`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

holidays_quota (8 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`count`	`FLOAT64`
`id`	`FLOAT64`
`note`	`STRING`
`users_id`	`FLOAT64`
`year_since`	`FLOAT64`
`year_until`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

lumpsum_services (7 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`active`	`BOOL`
`id`	`FLOAT64`
`name`	`STRING`
`price`	`FLOAT64`
`unit`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

non_business_days (7 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`date`	`STRING`
`half_day`	`FLOAT64`
`id`	`FLOAT64`
`name`	`STRING`
`nonbusinessgroups_id`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

overtime_carry (7 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`hours`	`FLOAT64`
`id`	`FLOAT64`
`note`	`STRING`
`users_id`	`FLOAT64`
`year`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

projects (14 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`active`	`BOOL`
`billable_default`	`BOOL`
`billed_completely`	`BOOL`
`budget_is_hours`	`BOOL`
`budget_is_not_strict`	`BOOL`
`budget_money`	`FLOAT64`
`completed`	`BOOL`
`customers_id`	`FLOAT64`
`id`	`FLOAT64`
`name`	`STRING`
`revenue_factor`	`FLOAT64`
`test_data`	`BOOL`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

services (5 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`active`	`BOOL`
`id`	`FLOAT64`
`name`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

surcharges (20 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`accumulation`	`BOOL`
`id`	`FLOAT64`
`name`	`STRING`
`nonbusiness__percent`	`FLOAT64`
`nonbusiness__time_since`	`STRING`
`nonbusiness__time_since_is_previous_day`	`BOOL`
`nonbusiness__time_until`	`STRING`
`nonbusiness__time_until_is_next_day`	`BOOL`
`nonbusiness_special__percent`	`FLOAT64`
`nonbusiness_special__time_since`	`STRING`
`nonbusiness_special__time_since_is_previous_day`	`BOOL`
`nonbusiness_special__time_until`	`STRING`
`nonbusiness_special__time_until_is_next_day`	`BOOL`
`sunday__percent`	`FLOAT64`
`sunday__time_since`	`STRING`
`sunday__time_since_is_previous_day`	`BOOL`
`sunday__time_until`	`STRING`
`sunday__time_until_is_next_day`	`BOOL`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

target_hours (17 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`type`	`STRING`
`compensation_daily`	`FLOAT64`
`compensation_monthly`	`FLOAT64`
`date_since`	`STRING`
`date_until`	`STRING`
`friday`	`FLOAT64`
`id`	`FLOAT64`
`monday`	`FLOAT64`
`saturday`	`FLOAT64`
`sunday`	`FLOAT64`
`test_data`	`BOOL`
`thursday`	`FLOAT64`
`tuesday`	`FLOAT64`
`users_id`	`FLOAT64`
`wednesday`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

teams (5 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`id`	`FLOAT64`
`leader`	`FLOAT64`
`name`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

user_reports (31 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`diff`	`FLOAT64`
`holidays_carry`	`FLOAT64`
`holidays_quota`	`FLOAT64`
`overtime_carryover`	`FLOAT64`
`overtime_reduced`	`FLOAT64`
`sum_absence__home_office`	`FLOAT64`
`sum_absence__maternity_protection`	`FLOAT64`
`sum_absence__military_service`	`FLOAT64`
`sum_absence__out_of_office`	`FLOAT64`
`sum_absence__quarantine`	`FLOAT64`
`sum_absence__regular_holidays`	`FLOAT64`
`sum_absence__school`	`FLOAT64`
`sum_absence__sick_child`	`FLOAT64`
`sum_absence__sick_self`	`FLOAT64`
`sum_absence__special_leaves`	`FLOAT64`
`sum_hours`	`FLOAT64`
`sum_reduction_planned`	`FLOAT64`
`sum_reduction_used`	`FLOAT64`
`sum_target`	`FLOAT64`
`surcharges__night`	`FLOAT64`
`surcharges__night_increased`	`FLOAT64`
`surcharges__nonbusiness`	`FLOAT64`
`surcharges__nonbusiness_special`	`FLOAT64`
`surcharges__saturday`	`FLOAT64`
`surcharges__sunday`	`FLOAT64`
`users_email`	`STRING`
`users_id`	`FLOAT64`
`users_name`	`STRING`
`workdays`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

users (23 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`active`	`BOOL`
`can_add_customers`	`BOOL`
`can_generally_manage_absences`	`BOOL`
`can_generally_see_absences`	`BOOL`
`creator`	`FLOAT64`
`default_holidays_count`	`BOOL`
`default_target_hours`	`BOOL`
`edit_lock_sync`	`BOOL`
`email`	`STRING`
`id`	`FLOAT64`
`initials`	`STRING`
`language`	`STRING`
`name`	`STRING`
`role`	`STRING`
`support_pin`	`STRING`
`timeformat_12h`	`BOOL`
`timezone`	`STRING`
`weekend_friday`	`BOOL`
`weekstart_monday`	`BOOL`
`work_time_edit_lock_days`	`FLOAT64`
`worktime_regulation_id`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: users__absence_managers_id

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`value`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

work_times (5 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`date`	`STRING`
`offset`	`FLOAT64`
`users_id`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: work_times__intervals

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`time_since`	`STRING`
`time_until`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

How the Clockodo sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Clockodo supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for Clockodo?

It depends on how much history is in your Clockodo account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when Clockodo's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Clockodo, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Clockodo instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Clockodo connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Clockodo data

Billable hours

Use entries to track logged hours by project and customer over time.

Project profitability

Join entries with projects and target_hours to compare logged time against budgets.

Absence tracking

Use absences and holidays_quota to monitor leave and capacity.

Use Clockodo data in your AI and BI tools

Once Clockodo data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Clockodo data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for Clockodo connector pricing and plan details.

ClickUp: Sync ClickUp to BigQuery.
GitHub: Sync GitHub to BigQuery.
GitLab: Sync GitLab to BigQuery.
Greenhouse: Sync Greenhouse to BigQuery.
Harvest: Sync Harvest to BigQuery.
Jira: Sync Jira to BigQuery.

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