# Freshchat + Databricks

> Centralize Freshchat tickets, conversations, and interactions in Databricks with Erathos. Analyze SLA, NPS, and support performance with always up-to-date data.

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

Freshchat is a messaging and live chat platform designed to facilitate communication between companies and customers. Amazon Redshift, on the other hand, is a cloud data warehouse designed for fast and efficient analysis of large data volumes.

With Erathos, your Freshchat data arrives at Databricks ready to power Machine Learning models and advanced analytics pipelines, within the same environment where your team already processes other data.

### What Freshchat data does Erathos sync to Redshift?

The integration automatically syncs key Freshchat objects:

- **Tickets**: status, priority, assignee, and resolution time
- **Interactions**: messages, replies, and conversation history
- **Agents**: individual performance and support workload
- **SLAs**: compliance, breaches, and metrics by category
- **CSAT**: satisfaction ratings and customer feedback
- **Tags and categories**: taxonomy of contact reasons

### Why sync Freshchat with Databricks?

In Databricks, your Freshchat data is ready for Machine Learning models, advanced analytics, and ad hoc queries, in the same environment where your team already builds data pipelines.

### How it works

Erathos connects to Freshchat via the official API and syncs your data incrementally: only new or updated records are processed in each run, keeping pipelines fast and Databricks costs predictable. You choose the sync frequency (from 5 minutes to daily), the objects to sync, and the destination dataset. Every run is logged with full observability: execution time, rows processed, error context, and instant alerts via Slack or email if anything goes wrong.

## Data in your data warehouse in minutes

### Freshchat connector ready to use

Connect Freshchat to Databricks in minutes. Tickets, interactions, SLAs, and agent data are automatically synced—ready for analysis without manual processing.

### Total control over your Freshchat 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

No more finding out about Freshchat failures when the business team complains. Every run is logged with execution time, processed rows, and error context. Automatic alerts via Slack, Discord, or email as soon as anything deviates from expected behavior — SLAs and satisfaction metrics always stay up to date.

## Centralizing Freshchat data in Databricks has never been easier

Erathos is a data ingestion platform for support and data teams. With the Freshchat connector, you can automatically centralize tickets, interactions, SLAs, and customer support data in Databricks—support data always available for analysis and dashboards.

## 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 Freshchat to their data warehouse—with full observability into every pipeline run, zero maintenance, and none of the black-box opacity of traditional market tools.

### What Freshchat data does Erathos sync to Databricks?

Erathos syncs Tickets, Interactions, Agents, SLAs, Tags, and Customer Satisfaction Scores (CSAT) from Freshchat to Databricks. Custom ticket fields and support categories are also exported automatically.

### How often does Erathos synchronize data from Freshchat 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 Freshchat pipeline efficient and Databricks costs predictable.

### What happens if a Freshchat 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 Freshchat connector?

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