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