Freshchat + PostgreSQL
Freshchat is a messaging and live chat platform designed to make communication between businesses and customers easier. Postgres, on the other hand, is an open-source relational database management system that is highly robust and scalable. It supports a wide range of data types and advanced capabilities.
With Erathos, you can integrate Freshchat data into Postgres in just a few minutes. Our platform handles the entire data movement process into your analytics environment and makes it possible to join that data with other sources in your Data Warehouse. That way, your time goes to what really drives value — extracting actionable insights and making more data-driven decisions.
What Freshchat data does Erathos sync with PostgreSQL?
The integration automatically syncs Freshchat's core 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 comments
Tags and categories — taxonomy of contact reasons
Why sync Freshchat with PostgreSQL?
Freshchat data reveals what your customers need — but it sits apart from product, marketing, and finance data. In PostgreSQL, you can correlate ticket volume with churn, calculate the true cost of support by segment, and identify which features generate the most support before they become critical issues.
How it works
Erathos connects to Freshchat via the official API and syncs your data incrementally — only new or updated records are processed on each run, keeping pipelines fast and PostgreSQL costs predictable. You choose the sync frequency (from 5 minutes to daily), the objects to sync, and the destination dataset. Each run is logged with full observability: runtime, processed rows, errors with context, and instant alerts via Slack or email if anything goes wrong.
No credit card required.
Why do data teams choose Erathos for Freshchat?
Freshchat connector ready to use
Connect Freshchat to PostgreSQL in minutes. Tickets, interactions, SLAs, and agent data are automatically synced—ready for analysis without manual processing.
Total control over your Freshchat pipelines
Configure sync frequency and type by table. Erathos uses intelligent UPSERT in PostgreSQL—ensuring data consistency even during reprocessing.
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.
Why Companies Move Data from Freshchat to PostgreSQL with Erathos
Centralizing Freshchat data in PostgreSQL has never been easier
Erathos is a data ingestion platform for support and data teams. With the Freshchat connector, you automatically centralize tickets, interactions, SLAs, and customer service data in PostgreSQL—support data always available for analysis and dashboards.
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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 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 PostgreSQL?
Erathos syncs Tickets, Interactions, Agents, SLAs, Tags, and Customer Satisfaction Ratings (CSAT) from Freshchat to PostgreSQL. Custom ticket fields and support categories are also exported automatically.
How often does Erathos sync data from Freshchat to PostgreSQL?
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 on each run, keeping the Freshchat pipeline efficient and PostgreSQL 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 PostgreSQL and start syncing immediately—no credit card required.