- Connectors
- Freshchat
- Freshchat + BigQuery


Freshchat + BigQuery
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 BigQuery in just a few minutes. Our platform handles the entire data movement process to your serverless data warehouse and lets you join that data with other sources. That way, your time goes where it really creates value — extracting insights and making data-driven decisions.
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Move data in a few clicks
Connect your source
Authenticate your account and you're done. 100+ ready-made connectors, no code required.
Configure the sync
Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.
Choose your destination
Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.
What Freshchat data does Erathos sync to BigQuery?
The integration automatically syncs Freshchat’s main objects:
- Tickets and support cases — status, priority, channel, and response time
- Contacts and customers — interaction history and account details
- 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 BigQuery?
In BigQuery, you can combine this data with product, revenue, and customer satisfaction metrics — joining sources with standard SQL and pay-per-query billing. Native integration with Looker Studio, Vertex AI, and BQML enables advanced analytics without extra infrastructure.
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. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination in BigQuery. The sync uses incremental processing so only new or updated records are handled — keeping BigQuery costs predictable. You choose the sync frequency, the objects to sync, and the target dataset. Each run is logged with full observability: runtime, rows processed, and alerts via Slack or email.
Centralizing Freshchat data in BigQuery 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 BigQuery — always up-to-date data, full observability into every run, and zero maintenance.
Freshchat data in BigQuery in minutes
Ready-to-use Freshchat connector
Connect Freshchat to BigQuery and automatically export data. Centralize customer support data for analysis — no spreadsheets and no scripts.
Learn moreFull control over your Freshchat pipelines
Configure sync schedule, frequency, and sync type at the table level. Configure sync schedule, frequency, and sync type at the table level. Incremental sync processes only new or changed records, keeping BigQuery costs low and your analytics always up to date.
Learn moreEnd-to-end observability
No more finding Freshchat issues only after the business team complains. Every run is logged with run time, processed rows, and error context. Automatic alerts via Slack, Discord, or email as soon as something goes off expected — so your data stays fresh for analysis.
Learn moreBuilding data-driven stories
“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”
“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”
“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”
“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”
“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”
“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”
Other paths for your data
Other destinations for Freshchat
Other sources that land in BigQuery
CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.
Frequently Asked Questions
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 you get with traditional market tools.
Erathos syncs Freshchat tickets, conversations, agents, response times, SLAs, and customer satisfaction with your Data Warehouse, enabling comprehensive support analytics.
You can configure 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 BigQuery costs predictable.
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.
Yes. Every Erathos connector includes a 14-day free trial. Connect Freshchat to BigQuery and start syncing right away — no credit card required.
