

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.
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.
No credit card required.


Why do data teams choose Erathos for Freshchat?
Ready-to-use Freshchat connector
Connect Freshchat to BigQuery and automatically export data. Centralize customer support data for analysis — no spreadsheets and no scripts.
Full 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.
End-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.
Why companies move data from Freshchat to BigQuery with Erathos
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.
Our Customers

1

Bruno Rosso
Data Analyst

Every new source implementation, if I had to do it alone, would take me about two or three months. With Erathos, it's done in a few hours. I don't need a data engineer's skillset to deliver real value with company data.

10

Luis Ribas
CTO

I can describe my experience with Erathos as seamless; we had no major issues migrating from our old data pipeline platform. Their support is always impeccable, both in answering questions and resolving issues. I highly recommend them, without a doubt.

11

Sayuri Valente
Project Manager

The robustness and efficiency of Erathos's connectors—whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul—make the entire pipeline much faster and more reliable. The technical documentation is extremely well-crafted and intuitive, which greatly legacy simplifies implementation.

2

Kauê Raizer
Co-founder

Centralizing our data with Erathos gave us a roadmap to structure the company: today, we can view NPS and churn in a consolidated way and use that to drive decisions. If I were to give advice to another founder, it would be: centralize your data from day one.

3

Matheus Nunes
CTO & Co-founder

Erathos revolutionized data management at WE. By integrating multiple SaaS platforms into a single DW, our engineering team can now focus on the core business. We implemented dashboards providing insights across all departments, enriching our data culture and streamlining decision-making.

4

Fernando R.
Head of Data

Erathos brought an incredible boost in productivity. With no worries about data ingestion, the team focused on strategy rather than pipeline maintenance. Implementing a new connector takes minutes, and the reliability is outstanding. It was one of the best decisions we've made.

5

Carlos Schwabe
Co-Founder & CDO

We used to have a lot of rework, but not anymore. Working this way is much more efficient. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.

6

Fernando Costa
CTO & Co-founder

It was impossible to run our operations on spreadsheets. Erathos was a perfect fit: they became the data engineer I didn't have. We managed to reduce analysis time, establish weekly data rituals, and, most importantly, trust the data we use.

7

Thiago Paz
CFO

If I didn't have this infrastructure, I would need three or four people to do what Erathos does today. I was able to drive real value from my data with a much leaner team than I ever imagined needing.

8

Felipe Corrêa
CTO & Co-founder

Erathos is essential for anyone looking for a quick go-live when centralizing data from multiple sources. We successfully integrated 6 different data sources in a single day, something that would have taken weeks without Erathos.

1

Bruno Rosso
Data Analyst

Every new source implementation, if I had to do it alone, would take me about two or three months. With Erathos, it's done in a few hours. I don't need a data engineer's skillset to deliver real value with company data.

10

Luis Ribas
CTO

I can describe my experience with Erathos as seamless; we had no major issues migrating from our old data pipeline platform. Their support is always impeccable, both in answering questions and resolving issues. I highly recommend them, without a doubt.

11

Sayuri Valente
Project Manager

The robustness and efficiency of Erathos's connectors—whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul—make the entire pipeline much faster and more reliable. The technical documentation is extremely well-crafted and intuitive, which greatly legacy simplifies implementation.

2

Kauê Raizer
Co-founder

Centralizing our data with Erathos gave us a roadmap to structure the company: today, we can view NPS and churn in a consolidated way and use that to drive decisions. If I were to give advice to another founder, it would be: centralize your data from day one.

3

Matheus Nunes
CTO & Co-founder

Erathos revolutionized data management at WE. By integrating multiple SaaS platforms into a single DW, our engineering team can now focus on the core business. We implemented dashboards providing insights across all departments, enriching our data culture and streamlining decision-making.

4

Fernando R.
Head of Data

Erathos brought an incredible boost in productivity. With no worries about data ingestion, the team focused on strategy rather than pipeline maintenance. Implementing a new connector takes minutes, and the reliability is outstanding. It was one of the best decisions we've made.

5

Carlos Schwabe
Co-Founder & CDO

We used to have a lot of rework, but not anymore. Working this way is much more efficient. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.

6

Fernando Costa
CTO & Co-founder

It was impossible to run our operations on spreadsheets. Erathos was a perfect fit: they became the data engineer I didn't have. We managed to reduce analysis time, establish weekly data rituals, and, most importantly, trust the data we use.

7

Thiago Paz
CFO

If I didn't have this infrastructure, I would need three or four people to do what Erathos does today. I was able to drive real value from my data with a much leaner team than I ever imagined needing.

8

Felipe Corrêa
CTO & Co-founder

Erathos is essential for anyone looking for a quick go-live when centralizing data from multiple sources. We successfully integrated 6 different data sources in a single day, something that would have taken weeks without Erathos.
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 you get with traditional market tools.
What Freshchat data does Erathos sync to BigQuery?
Erathos syncs Freshchat tickets, conversations, agents, response times, SLAs, and customer satisfaction with your Data Warehouse, enabling comprehensive support analytics.
How often does Erathos sync data from Freshchat to BigQuery?
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.
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 BigQuery and start syncing right away — no credit card required.












