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Clockify + Databricks
Clockify is a time tracking and productivity app for tracking hours and generating project reports. Databricks, in turn, is a serverless Big Data solution that provides robust data storage and large-scale analytics capabilities.
With Erathos, you can integrate Clockify data into Databricks in just a few minutes. Our platform handles the entire data movement process into your analytics environment and lets you join that data with other sources in your data warehouse. That way, your time goes where it really creates value—extracting actionable insights and making more data-driven decisions.
What Clockify data does Erathos sync to Databricks?
The integration automatically syncs Clockify's core objects:
Projects — status, owners, dates, and settings
Tasks and subtasks — priority, status, estimates, and assignees
Sprints — dates, velocity, and planning data
Members — users, roles, and workload
Comments — discussion and decision history
Custom fields — team-defined properties and custom tags
Why sync Clockify with Databricks?
Clockify reports show project progress, but not business impact. In Databricks, you can connect productivity data with product, revenue, and customer satisfaction metrics—calculating actual delivery time, identifying systemic bottlenecks, and correlating execution speed with business outcomes.
How it works
Erathos connects to Clockify via the official API and syncs your data incrementally—only new or updated records are processed on each run, keeping pipelines fast and Databricks costs predictable. You choose the sync frequency (from every 5 minutes to daily), which objects to sync, and the destination dataset. Each run is fully observable: execution time, rows processed, context-rich errors, and instant alerts via Slack or email if anything goes wrong.
No credit card required.
Why do data teams choose Erathos for Clockify?
Ready-to-use Clockify connector
Connect Clockify to Databricks and automatically export tasks, projects, sprints, and team members. Centralized productivity data for analysis — no CSVs, no scripts.
Total control over your Clockify pipelines
Configure frequency, sync type, and partitioning by table. Data arrives in Databricks ready for ML, analytics, and ad hoc queries—with predictable cost.
End-to-end observability
Stop finding out about Clockify issues only after the business team complains. Every run is logged with runtime, rows processed, and error context. Automatic alerts via Slack, Discord, or email the moment anything goes off track — so your productivity data stays fresh for sprint reporting.
Why companies move data from Clockify to Databricks with Erathos
Centralizing Clockify data in Databricks has never been easier
Erathos is a data ingestion platform for operations and data teams. With the Clockify connector, you can automatically export tasks, projects, sprints, and productivity data to Databricks—centralized productivity data ready for analysis.
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Trusted by data-driven companies
Simplified data ingestion
1
Select your data source
More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and create a streamlined path forward.
2
Setup your pipeline
Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.
3
Select your data warehouse
Choose between Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data
FAQ
What is Erathos and how can it help my company?
Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Clockify to their data warehouse—with full observability into every run, zero maintenance, and without the opacity of traditional market tools.
What Clockify data does Erathos sync to Databricks?
Erathos syncs Projects, Tasks, Subtasks, Members, Sprints, Statuses, and Comments from Clockify to Databricks. Custom fields, tags, and task dependencies created by the team are also exported.
How often does Erathos synchronize data from Clockify to Databricks?
You can configure sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental synchronization—only new or updated records are processed on each run, keeping the Clockify pipeline efficient and Databricks costs predictable.
What happens if a Clockify synchronization fails?
Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context—not just "job failed." Smart retries handle transient errors, and every execution is logged with run time, processed rows, and error context so your team can debug in minutes, not hours.
Is there a free trial period for the Clockify connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect Clockify to Databricks and start syncing immediately—no credit card required.