Teamwork + Amazon S3
Teamwork is a collaboration and project management platform that offers a variety of tools for teams to work efficiently.
With Erathos, you can integrate Teamwork data into Amazon S3 in just a few minutes. Our platform handles the entire data movement process into your data lake and makes it possible to join that data with other sources. That way, your time is focused on what truly creates value — extracting insights and making data-driven decisions.
Which Teamwork data does Erathos sync with Amazon S3?
The integration automatically syncs Teamwork’s core objects:
Projects — status, owners, dates, and settings
Tasks and subtasks — priority, status, estimates, and owners
Sprints and cycles — dates, velocity, and planning data
Members — users, roles, and workload
Comments — discussion and decision history
Custom fields — properties and tags customized by the team
Why sync Teamwork with Amazon S3?
In Amazon S3 with Iceberg, your data is stored as Parquet files with support for time travel and schema evolution — ready to be queried with Athena, Spark, Trino, or any query engine in your stack. It’s ideal for low-cost archival and ML feature stores.
How it works
Erathos connects to Teamwork through the official API and syncs your data incrementally — only new or updated records are processed in each run. You choose the sync frequency (from 5 minutes to daily), which objects to sync, and the destination in Amazon S3. The sync uses automatic partitioning and Parquet file optimization. You choose the sync frequency, the objects to sync, and the destination bucket. Each run is tracked with full observability: runtime, processed rows, contextual errors, and alerts via Slack or email.
No credit card required.
Why do data teams choose Erathos for Teamwork?
Teamwork connector ready to use
Connect Teamwork to Amazon S3 and automatically export data. Centralize project management data for analysis—without spreadsheets or scripts.
Full control over your Teamwork pipelines
Configure the schedule, frequency, and sync type at the table level. Configure partitioning, file format, and write frequency at the table level. The Iceberg format ensures ACID compliance and schema evolution — without full bucket rewrites.
End-to-end observability
No more finding out about Teamwork failures when the business team complains. Every run is logged with runtime, processed rows, and error context. Automatic alerts via Slack, Discord, or email as soon as anything deviates from expectations — keeping your data fresh for analysis.
Why companies move data from Teamwork to Amazon S3 with Erathos
Centralizing Teamwork data in Amazon S3 has never been easier
Erathos is a data ingestion platform built for engineering and data teams. With the Teamwork connector, you automatically centralize projects, tasks, and team metrics in Amazon S3 — always up-to-date data, full observability into every run, and zero maintenance.
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 business?
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 tools on the market.
Which Teamwork data does Erathos sync to Amazon S3?
Erathos syncs Teamwork tasks, projects, sprints, members, comments, statuses, and delivery metrics to your data warehouse incrementally, without writing code.
How often does Erathos sync data from Teamwork to Amazon S3?
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 Teamwork pipeline efficient and Amazon S3 costs predictable.
What happens if a Teamwork sync 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 run is logged with runtime, rows processed, 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 Amazon S3 and start syncing right away — no credit card required.