# Track.co + Databricks

> Bring customer health data, NPS, and Track.co usage into Databricks with Erathos. Analyze retention and churn with reliable pipelines and full observability.

Source: https://www.erathos.com/en/pipelines/track-co-databricks
Em português: https://www.erathos.com/pipelines/track-co-databricks

Track.co is a customer experience management platform that helps companies measure and improve customer satisfaction by providing detailed insights to enhance support and build customer loyalty. Databricks, in turn, is a serverless Big Data solution that delivers robust capabilities for large-scale data storage and analytics.

With Erathos, you can integrate Track.co 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 means your time goes to what really drives value — extracting actionable insights and making more data-driven decisions.

### Which Track.co data does Erathos sync with Databricks?

The integration automatically syncs the main Track.co objects:

- **Customer health (Health Score)** — current score and historical changes
- **NPS** — responses, detractors, passives, and promoters
- **Product usage** — features used, frequency, and engagement
- **Churn risk** — alerts, signals, and actions taken
- **Segments** — customer segmentation classification and criteria
- **Interactions** — meetings, QBRs, and CS contact history

### Why sync Track.co with Databricks?

Track.co centralizes the customer health view, but in a silo. In Databricks, you combine health score, NPS, and product usage with financial and support data — identifying churn signals weeks in advance, calculating the true financial impact of retention, and building predictive models with all available data.

### How it works

Erathos connects to Track.co 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 target dataset. Each run is fully observable: execution time, rows processed, errors with context, and instant alerts via Slack or email if anything goes wrong.

## Data in your data warehouse in minutes

### Track.co connector ready to use

Connect Track.co to Databricks and automatically sync customer health, NPS, product usage, and churn. Data-driven Customer Success with reliable, observable pipelines.

### Total control over your pipelines with Track.co

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 Track.co failures only after the business team complains. Every run is logged with runtime, processed rows, and error context. Automated alerts via Slack, Discord, or email as soon as anything deviates from expected behavior — so health scores and retention data stay trustworthy.

## Centralizing Track.co data in Databricks has never been this simple.

Erathos is a data ingestion platform for Customer Success and data teams. With the Track.co connector, you automatically sync customer health, NPS, product usage, and churn data to Databricks—with full observability for every pipeline run and smart alerts.

## 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 Track.co to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.

### What Track.co data does Erathos sync to Databricks?

Erathos syncs Customer Health data, NPS, product usage, segments, churn risk, and interactions from Track.co to Databricks. Scores and engagement metrics are also exported automatically.

### How often does Erathos synchronize data from Track.co to Databricks?

You can configure the sync frequency from every 5 minutes up to daily at the table level. Erathos uses incremental synchronization—only new or updated records are processed in each run, keeping the Track.co pipeline efficient and Databricks costs predictable.

### What happens if a Track.co 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 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 Track.co connector?

Yes. Every Erathos connector includes a 14-day free trial. Connect Track.co to Databricks and start syncing immediately—no credit card required.