No-code pipeline · Toggl → Redshift

Send data from Toggl to Redshift

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From Toggl to Redshift: managed, scheduled, no code.
Creating a pipeline that sends data from Toggl to Redshift data warehouses takes only a few minutes with Kondado. And the whole integration from Toggl to Redshift is managed and executed by our platform. With Kondado, you can focus on extracting value from Toggl data and combining it with other data in your Redshift data warehouse

Send Toggl Data to Redshift Automatically

To send Toggl data to Redshift, you need to establish an automated pipeline between your time tracking application and AWS data warehouse. Kondado enables this by connecting directly to the Toggl API, extracting your time entries, project details, and client information, then loading it into Redshift datasets optimized for analytics. The setup requires no coding: simply provide your Toggl API token, enter your Redshift connection details, and select which data pipelines you want to replicate. You can configure the update schedule to match your business needs, whether that is every few minutes for near-real-time visibility or daily batches for historical analysis.

Kondado automatically replicates data from Toggl to Amazon Redshift on a configurable schedule, offering 10 different pipelines including Time Entries, Projects, Clients, and Workspaces with a total of 141 fields available for analysis.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Once your Toggl data lands in Redshift, you can analyze the Time Entries pipeline to calculate billable hours and identify productivity patterns across your organization. The Projects and Projects: Users pipelines enable you to track actual hours against estimates and analyze labor costs by team member, helping you identify which projects are over budget or which employees are most efficient. Combine this with the Clients pipeline to generate comprehensive profitability reports that show revenue per client, project margins, and team utilization rates, all queryable using standard SQL within your Redshift environment for deeper business intelligence.

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Replicated to Redshift

Toggl data available for Redshift

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

10
available pipelines
141
extractable fields
Redshift
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.
Tags
Contains information about tag ID, name, and workspace ID, facilitating the categorization of entries.
Tasks
Includes data such as task ID, status, and update timestamp, aiding in activity management.
Time Entries
Presents information such as entry ID, description, and duration in seconds, essential for time tracking.
Workspaces
Contains data about workspace ID and name, allowing for the organization of projects and teams.
Workspaces: Users
Includes information such as user ID, name, and workspace ID, facilitating user management across different workspaces.

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How to send Toggl data to Redshift

Sync data automatically — no code, no manual exports.

1
Connect Toggl Account

Log into Kondado and select Toggl as your data source, then enter your API token to authenticate and allow access to your time tracking data.

2
Configure Redshift Destination

Enter your Amazon Redshift cluster credentials including host, port, database name, and user credentials to establish the destination connection for your replicated data.

3
Select Pipelines and Schedule

Choose which Toggl pipelines to replicate, such as Time Entries or Projects, and set your preferred update frequency to automate data refreshes on your schedule.

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Send data from Toggl to other destinations

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Frequently Asked Questions (FAQ)

Answers about sending Toggl data to Redshift automatically

How does Toggl to Redshift replication work?
Kondado connects to the Toggl API using your credentials and extracts data from your selected pipelines. The platform then transforms and loads this information into your Redshift cluster, creating structured datasets that you can query immediately using SQL.
What Toggl data can I replicate to Redshift?
You can replicate 10 different pipelines including Time Entries, Projects, Clients, Tasks, Tags, Groups, Workspaces, and their relationships. This covers 141 fields total, giving you access to detailed time tracking, project management, and user information.
How often does Toggl data update in Redshift?
Kondado updates your Redshift data on a configurable schedule that you set, ranging from every 5 minutes to daily or longer intervals. This allows you to balance between having near-real-time data and managing your API rate limits and compute costs.
Can I combine Toggl data with other sources in Redshift?
Yes, once Toggl data is in Redshift, you can join it with data from other sources you replicate, such as Salesforce, HubSpot, or MySQL. This enables comprehensive analysis such as correlating time tracking with sales revenue or marketing campaign performance.
What format does Toggl data arrive in Redshift?
Toggl data arrives in Redshift as structured tables corresponding to each pipeline you selected, such as Time Entries, Projects, and Clients. Each field from Toggl is mapped to appropriate column types in Redshift, allowing you to run complex SQL queries and build custom dashboards immediately.
Do I need coding skills to replicate Toggl to Redshift?
No coding is required to set up the replication. Kondado provides a no-code interface where you simply authenticate your Toggl account, enter your Redshift connection details, and select your desired pipelines using point-and-click configuration.
Can I send Toggl data to destinations other than Redshift?
Yes, Kondado supports multiple destinations for your Toggl data including Power BI, Looker Studio, Google Sheets, BigQuery, and PostgreSQL. You can create separate pipelines to send different datasets to different destinations based on your reporting needs.
How do I track billable hours from Toggl in Redshift?
Once the Time Entries and Projects pipelines are replicated to Redshift, you can query the duration fields and hourly rates to calculate billable amounts. Join these with the Clients pipeline to generate invoices or profitability analysis showing exactly how much to bill each client based on tracked time.

Try out all the features for free for 14 days

Try out all the features for free for 14 days