How does Kondado replicate Clockify data to Redshift?

Kondado connects directly to the Clockify API to extract workspace and project information, then loads this data into your Redshift cluster on a schedule you configure. The platform handles schema creation and data type mapping automatically, ensuring that fields like hourly rates and time estimates arrive in Redshift ready for SQL querying without requiring manual table setup.

What Clockify data can I replicate to Redshift?

You can replicate two main pipelines comprising 115 total fields: Workspaces data including administrative permissions, billing settings, and team configurations, plus Projects data containing billable flags, color codes, time estimates, and hourly rates. This covers the essential metadata needed to analyze time tracking patterns alongside your actual logged hours.

How often does Clockify data update in Redshift?

Kondado updates your Redshift database on a configurable schedule ranging from every 5 minutes to daily, depending on your analytics requirements. You can set different refresh frequencies for different pipelines, ensuring that project metadata updates hourly while workspace configurations might only need daily synchronization.

What format does Clockify data take in Redshift?

Clockify data arrives in Redshift as structured relational tables with appropriate PostgreSQL data types, where JSON fields from the API are flattened into queryable columns. Each pipeline creates distinct tables containing fields like workspace IDs, project names, and billing configurations that you can join with other business data using standard SQL.

Can I combine Clockify data with other sources in Redshift?

Yes, Kondado supports replicating data from over 80 additional sources into Redshift alongside your Clockify information, allowing you to create comprehensive datasets. You can join time tracking data with financial records from accounting platforms or client information from CRM systems to build unified reports on project profitability and resource allocation.

Do I need coding skills to connect Clockify to Redshift?

No coding is required to establish the connection, as Kondado provides a no-code interface for authenticating your Clockify account and configuring your Redshift destination. You simply select which pipelines to enable and set your preferred update schedule through the visual dashboard, eliminating the need to write API extraction scripts or manage data transformation code.

Can I send Clockify data to other destinations besides Redshift?

Yes, you can send Clockify data to Power BI , Looker Studio , Google Sheets , or BigQuery in addition to Redshift. This flexibility allows you to maintain your data warehouse while simultaneously feeding dashboards and spreadsheets that different teams use for daily operations.

How do I analyze Clockify time tracking data in Redshift?

You can write SQL queries to join Clockify project metadata with actual time entries, calculating metrics like budget variance, team utilization rates, and billable hour percentages. Many analysts connect Redshift to Power BI or Looker Studio to visualize these metrics in custom dashboards that update automatically as new time tracking data arrives.

Send data from Clockify to Redshift

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Send Clockify Data to Redshift Automatically

How do you send Clockify data to Redshift without writing custom scripts or managing API connections? Kondado provides a direct integration that automatically replicates your time tracking information into Amazon Redshift on a configurable schedule. Simply authenticate your Clockify account, select Redshift as your destination, and choose which pipelines to enable.

Kondado replicates Clockify Workspaces and Projects pipelines to Amazon Redshift automatically on a configurable schedule ranging from every 5 minutes to daily, making time tracking data available for SQL analysis and business intelligence workflows.

Once your data arrives in Redshift, you can combine time entries with financial metrics from accounting systems or CRM data to analyze project profitability, track team productivity trends across departments, and build custom dashboards that refresh automatically. This connection eliminates manual CSV exports and enables near-real-time workforce analytics without requiring engineering resources to maintain extraction code.

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Available Clockify Pipelines for Redshift

The available pipelines include Workspaces data containing administrative settings, billing configurations, and team structures alongside Projects information tracking billable status, time estimates, and hourly rates. With these datasets in Redshift, you can calculate actual versus estimated hours across client portfolios, identify which projects exceed budgeted timeframes, and segment productivity analysis by workspace permissions or billing categories.

Combine Clockify projects data with revenue figures from your accounting software to generate margin analysis reports, or merge workspace permissions with HR data to understand how team structures impact delivery timelines. This granular time tracking data enables sophisticated resource planning and client billing analysis directly within your data warehouse environment.

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Clockify data available for Redshift

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 Redshift

Sync data automatically — no code, no manual exports.

Connect Your Clockify Account

Authenticate your Clockify workspace in Kondado by providing your API credentials, allowing the platform to access workspace and project metadata for replication.

Configure Your Redshift Destination

Enter your Amazon Redshift cluster connection details including host, database name, and credentials to establish the target location where your time tracking data will land.

Select Pipelines and Set Schedule

Choose which Clockify pipelines to enable, such as Workspaces and Projects, then configure your update frequency from every 5 minutes to daily to keep your Redshift data current.

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