Freshdesk + Databricks
Freshdesk is a cloud-based customer support platform that offers a range of tools to help companies manage and automate support workflows.
With Erathos, you can integrate Freshdesk data into Databricks in just a few minutes. Our platform handles the entire data movement process to your lakehouse platform and enables this data to be joined with other sources. That way, your time is focused on what really creates value — extracting insights and making data-driven decisions.
Which Freshdesk data does Erathos sync with Databricks?
The integration automatically syncs Freshdesk’s main 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 ticket reasons
Satisfaction (CSAT) — ratings, comments, and timestamps
SLA and metrics — resolution time, first response time, and escalations
Why sync Freshdesk with Databricks?
In Databricks, you combine this data with Delta Lake for ACID transactions, time travel, and schema evolution. Data and ML teams get unified access through Python, SQL, and Spark — ideal for feature engineering, predictive models, and large-scale analytics.
How it works
Erathos connects to Freshdesk 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 Databricks. The sync uses writes to Delta Lake with configurable partitioning. You choose the sync frequency, the objects to sync, and the target schema. Each run is logged with full observability: runtime, processed rows, and alerts via Slack or email.
No credit card required.
Why do data teams choose Erathos for Freshdesk?
Ready-to-use Freshdesk connector
Connect Freshdesk to Databricks and automatically export data. Centralize customer support data for analysis—no spreadsheets or scripts required.
Complete control over your Freshdesk pipelines
Configure schedule, frequency, and sync type at the table level. Configure frequency, sync type, and partitioning per table. Data lands in Databricks in Delta Lake—ready for ML, analytics, and ad hoc queries with predictable cost.
End-to-end observability
Stop finding out about Freshdesk issues only after the business team complains. Every run is logged with execution time, processed rows, and error context. Get automatic alerts via Slack, Discord, or email as soon as something goes off track — so your data stays fresh for analysis.
Why companies move their data from Freshdesk to Databricks with Erathos
Centralizing Freshdesk data in Databricks has never been easier
Erathos is a data ingestion platform built for support and data teams. With the Freshdesk connector, you automatically centralize tickets, agents, and support metrics in Databricks — 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 Freshdesk to their data warehouse—with full observability into every run, zero maintenance, and none of the black-box behavior of traditional market tools.
Which Freshdesk data does Erathos sync to Databricks?
Erathos syncs Freshdesk tickets, conversations, agents, response times, SLAs, and customer satisfaction with your Data Warehouse, enabling comprehensive support analytics.
How often does Erathos sync data from Freshdesk to Databricks?
You can set 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 on each run, keeping the Freshdesk pipeline efficient and Databricks costs predictable.
What happens if a Freshdesk 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 Freshdesk connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect Freshdesk to Databricks and start syncing right away — no credit card required.