Freshchat + Azure SQL Server
Freshchat is a messaging and live chat platform designed to make communication between companies and customers easier.
With Erathos, you can integrate Freshchat data into Azure SQL Server in just a few minutes. Our platform handles the entire data movement process into your relational database in the Azure cloud and lets you combine this data with other sources. That way, your time goes to what really creates value — extracting insights and making data-driven decisions.
What Freshchat data does Erathos sync with Azure SQL Server?
The integration automatically syncs the main Freshchat objects:
Tickets and 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 opening reasons
Satisfaction (CSAT) — scores, comments, and timestamps
SLA and metrics — resolution time, first response time, and escalations
Why sync Freshchat with Azure SQL Server?
In Azure SQL Server, you connect this data to the Microsoft ecosystem — Power BI for executive dashboards, Azure Data Factory for orchestration, and Azure Synapse for large-scale analytics. Ideal for teams already operating in the Azure cloud and needing reliable operational data in SQL Server.
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 in Azure SQL Server. The sync uses intelligent UPSERTs in Azure SQL Server to ensure consistency even during reprocessing. You choose the sync frequency, the objects to sync, and the target database. Each run is logged with full observability: execution time, rows processed, 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 Azure SQL Server and automatically export data. Centralize customer support data for analysis — no spreadsheets or scripts.
Full control over your Freshchat pipelines
Set the sync schedule, frequency, and type at the table level. Configure sync frequency and type per table. Erathos uses intelligent UPSERT on Azure SQL Server — ensuring data consistency and native integration with Power BI and the Microsoft ecosystem.
End-to-end observability
Stop finding out about Freshchat failures only when the business team complains. Every run is logged with run time, rows processed, and error context. Automatic alerts via Slack, Discord, or email as soon as something goes off track — so your data stays fresh for analytics.
Why companies are moving data from Freshchat to Azure SQL Server with Erathos
Centralizing Freshchat data in Azure SQL Server has never been easier
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 Azure SQL Server—always up-to-date data, complete 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 common in traditional market tools.
Which Freshchat data does Erathos sync to Azure SQL Server?
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 Azure SQL Server?
You can set sync frequency from every 5 minutes up to once a day, at the table level. Erathos uses incremental sync—only new or updated records are processed on each run, keeping the Freshchat pipeline efficient and Azure SQL Server 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 Azure SQL Server and start syncing right away — no credit card required.