Teamwork + Databricks
Teamwork is a project collaboration and management platform that offers a range of tools for teams to work efficiently. Databricks, in turn, is a serverless Big Data solution that delivers robust capabilities for storing and analyzing data at scale.
With Erathos, you can integrate Teamwork data into Databricks in just a few minutes. Our platform handles the entire data movement process into your analytics environment and makes it possible to blend that data with other sources in your Data Warehouse. That way, your time is focused on what really creates value — extracting actionable insights and making more data-driven decisions.
Which Teamwork data does Erathos sync to Databricks?
The integration automatically syncs Teamwork’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 tags
Why sync Teamwork with Databricks?
Teamwork reports show project progress, but not the business impact. In Databricks, you can connect productivity data with product, revenue, and customer satisfaction metrics — measuring lead time, identifying systemic bottlenecks, and correlating delivery speed with business outcomes.
How it works
Erathos connects to Teamwork through 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), the objects to sync, and the destination dataset. Each run is logged with full observability: execution time, processed rows, errors with context, and instant alerts via Slack or email if anything goes wrong.
No credit card required.
Why do data teams choose Erathos for Teamwork?
Ready-to-use Teamwork connector
Connect Teamwork to Databricks and automatically export tasks, projects, sprints, and members. Centralized productivity data for analysis—no CSVs, no scripts.
Total control over your Teamwork 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 Teamwork failures only after the business team complains. Every run is logged with runtime, rows processed, and error context. Get automatic alerts via Slack, Discord, or email the moment something goes off track — with always-fresh productivity data for your sprint reports.
Why Companies Move Data from Teamwork to Databricks with Erathos
Centralizing Teamwork data in Databricks has never been easier.
Erathos is a data ingestion platform for operations and data teams. With the Teamwork connector, you can automatically export tasks, projects, sprints, and productivity data to Databricks—centralized productivity data ready for analysis.
Our Customers
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 Teamwork to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.
What Teamwork data does Erathos sync to Databricks?
Erathos syncs Projects, Tasks, Subtasks, Members, Sprints, Statuses, and Comments from Teamwork to Databricks. Custom fields, tags, and task dependencies created by the team are also exported.
How often does Erathos sync data from Teamwork to Databricks?
You can configure sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental sync—only new or updated records are processed on each run, keeping the Teamwork pipeline efficient and Databricks costs predictable.
What happens if a Teamwork 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 Teamwork connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect Teamwork to Databricks and start syncing immediately—no credit card required.