Freshchat + PostgreSQL
Freshchat is a messaging and live chat platform designed to make communication between businesses and customers easier.
With Erathos, you can integrate Freshchat data into PostgreSQL in just a few minutes. Our platform handles the entire data movement process to your open-source relational database and lets you combine that data with other sources. That way, your time goes toward what truly creates value — extracting insights and making data-driven decisions.
What Freshchat data does Erathos sync with PostgreSQL?
The integration automatically syncs the main Freshchat objects:
Tickets and cases — status, priority, channel, and response time
Contacts and customers — interaction history and account data
Agents — workload, SLA, and performance metrics
Categories and tags — classifications and opening reasons
Satisfaction (CSAT) — ratings, comments, and timestamps
SLA and metrics — resolution time, first response time, and escalations
Why sync Freshchat with PostgreSQL?
In PostgreSQL, you keep full control over the infrastructure without cloud lock-in. Your data stays accessible to any tool that speaks SQL — dashboards, applications, notebooks. Ideal for teams that want flexibility and operational data available directly in the application database.
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. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination schema in PostgreSQL. The sync uses intelligent UPSERTs to ensure data consistency, even during reprocessing. You choose the sync frequency, the objects to sync, and the destination schema. Each run is logged with full observability: run time, processed rows, and alerts via Slack or email.
No credit card required.
Why do data teams choose Erathos for Freshchat?
Ready-to-use Freshchat connector
Connect Freshchat to PostgreSQL and automatically export data. Centralize customer support data for analysis — no spreadsheets and no scripts.
Full control over your Freshchat pipelines
Set sync timing, frequency, and type at the table level. Configure sync frequency and type per table. Erathos uses intelligent UPSERT in PostgreSQL—ensuring data consistency even during reprocessing and preventing duplicates.
End-to-end observability
Stop finding Freshchat failures only after the business team complains. Every run is logged with execution time, processed rows, and error context. Automatic alerts via Slack, Discord, or email the moment something goes off track—so your analytics always have fresh data.
Why companies move data from Freshchat to PostgreSQL with Erathos
Centralizing Freshchat data in PostgreSQL has never been this easy
Erathos is a data ingestion platform built for support and data teams. With the Freshchat connector, you automatically centralize conversations, tickets, and support metrics in PostgreSQL — always up-to-date data, full observability into every run, and zero maintenance.
Our Customers
Trusted by data-driven companies
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 business?
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 run, zero maintenance, and none of the black-box behavior of traditional market tools.
Which Freshchat data does Erathos sync to PostgreSQL?
Erathos syncs Freshchat tickets, conversations, agents, response times, SLAs, and customer satisfaction with your data warehouse, enabling end-to-end support analytics.
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 sync—only new or updated records are processed in each run, keeping the Freshchat pipeline efficient and PostgreSQL costs predictable.
What happens if a Freshchat 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 run is logged with runtime, rows processed, and error context so your team can debug in minutes, not hours.
Is there a free trial period for the Freshchat connector?
Yes. All Erathos connectors include a 14-day free trial. Connect Freshchat to PostgreSQL and start syncing right away — no credit card required.