Freshchat + Amazon S3
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 Amazon S3 in just a few minutes. Our platform handles the entire data movement process into your data lake and lets you combine that data with other sources. That way, your time goes toward what really creates value — extracting insights and making data-driven decisions.
Which Freshchat data does Erathos sync with Amazon S3?
The integration automatically syncs the main Freshchat objects:
Tickets and support cases — status, priority, channel, and response time
Contacts and customers — interaction history and profile data
Agents — workload, SLA, and performance metrics
Categories and tags — classifications and case reasons
Satisfaction (CSAT) — ratings, comments, and timestamps
SLA and metrics — resolution time, first response time, and escalations
Why sync Freshchat with Amazon S3?
With Amazon S3 and Iceberg, your data is stored as Parquet files with time travel and schema evolution support — ready to be queried with Athena, Spark, Trino, or any query engine in your stack. Ideal for low-cost archiving and ML feature stores.
How it works
Erathos connects to Freshchat through the official API and syncs your data incrementally — only new or updated records are processed on each run. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination in Amazon S3. The sync uses automatic partitioning and Parquet file optimization. You choose the sync frequency, the objects to sync, and the destination bucket. Each run is logged with full observability: execution time, processed rows, contextual errors, 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 Amazon S3 and automatically export data. Centralize customer support data for analysis—no spreadsheets, no scripts.
Full control over your Freshchat pipelines
Configure the schedule, frequency, and sync type at the table level. Configure partitioning, file format, and write frequency at the table level. The Iceberg format ensures ACID compliance and schema evolution — without full bucket rewrites.
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 Amazon S3 with Erathos
Centralizing Freshchat data in Amazon S3 has never been so simple
Erathos is a data ingestion platform built for support and data teams. With the Freshchat connector, you can automatically centralize conversations, tickets, and support metrics in Amazon S3 — always up-to-date data, with 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.
What Freshchat data does Erathos sync to Amazon S3?
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 Amazon S3?
You can configure sync frequency at the table level, from every 5 minutes to daily. Erathos uses incremental sync — only new or updated records are processed in each run, keeping the Freshchat pipeline efficient and Amazon S3 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. Every Erathos connector includes a 14-day free trial. Connect Freshchat to Amazon S3 and start syncing right away — no credit card required.