- Connectors
- Trello
- Trello + Databricks


Trello + Databricks
Trello is a board- and list-based project management app for organizing work.
With Erathos, you can integrate Trello data into Databricks in just a few minutes. Our platform handles the entire data movement process into your lakehouse platform and lets you combine that data with other sources. That means your time is spent on what really drives value — uncovering insights and making data-driven decisions.
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Move data in a few clicks
Connect your source
Authenticate your account and you're done. 100+ ready-made connectors, no code required.
Configure the sync
Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.
Choose your destination
Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.
What Trello data does Erathos sync with Databricks?
The integration automatically syncs Trello’s core objects:
- Projects — status, owners, dates, and settings
- Tasks and subtasks — priority, status, estimates, and assignees
- Sprints and cycles — dates, velocity, and planning data
- Members — users, roles, and workload
- Comments — discussion and decision history
- Custom fields — team-defined properties and tags
Why sync Trello with Databricks?
In Databricks, you can combine this data with Delta Lake for ACID transactions, time travel, and schema evolution. Data and ML teams get unified access through Python, SQL, and Spark — ideal for feature engineering, predictive models, and large-scale analytics.
How it works
Erathos connects to Trello through the official API and syncs your data incrementally — only new or updated records are processed on each run. You choose the sync frequency (from every 5 minutes to daily), which objects to sync, and the Databricks destination. Data is written to Delta Lake with configurable partitioning. You choose the sync frequency, the objects to sync, and the target schema. Every run is logged with full observability: runtime, processed rows, and alerts via Slack or email.
Centralizing Trello data in Databricks has never been easier
Erathos is a data ingestion platform built for operations and data teams. With the Trello connector, you automatically centralize operational data and metrics in Databricks — always up-to-date data, full observability into every run, and zero maintenance.
Trello data in Databricks in minutes
Ready-to-use Trello connector
Connect Trello to Databricks and automatically export data. Centralize project management data for analysis—without spreadsheets or scripts.
Learn moreFull control over your Trello pipelines
Configure schedule, frequency, and sync type at the table level. Configure frequency, sync type, and partitioning per table. Data lands in Databricks in Delta Lake—ready for ML, analytics, and ad hoc queries with predictable cost.
Learn moreEnd-to-end observability
Stop finding out about Trello issues only when the business team complains. Every run is logged with execution time, rows processed, and error context. Automatic alerts via Slack, Discord, or email as soon as anything deviates from expectations — so your data stays fresh for analysis.
Learn moreBuilding data-driven stories
“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”
“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”
“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”
“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”
“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”
“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”
Other paths for your data
Other destinations for Trello
Other sources that land in Databricks
CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.
Frequently Asked Questions
Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Trello to their data warehouse—with full observability into every run, zero maintenance, and none of the black-box behavior of traditional market solutions.
Erathos syncs Trello tasks, projects, sprints, members, comments, statuses, and delivery metrics to your data warehouse incrementally, with no code required.
You can configure the sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental sync—only new or updated records are processed in each run, keeping the Trello pipeline efficient and Databricks costs predictable.
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.
Yes. Every Erathos connector includes a 14-day free trial. Connect Trello to Databricks and start syncing right away — no credit card required.
