Centralize Freshchat support data in your Data Warehouse

Freshchat is a messaging and live chat platform designed to facilitate communication between businesses and customers.

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Create a single source of truth

Connect Freshchat to the leading data warehouses on the market

Freshchat + Amazon S3

Freshchat + Azure SQL Server

Freshchat + BigQuery

Freshchat + Databricks

What is Erathos?

Integrate Freshchat support data and improve the customer experience

Erathos is a complete ELT software that extracts data from various sources through instant integrations. With plug & play connectors, you consolidate all your data in a single analytical environment and build a Data Warehouse in minutes.

Why Erathos?

From Freshchat to your Data Warehouse in minutes

Plug and play connectors

Connect Freshchat with 80+ other plug-and-play integrations. Eliminate time-consuming manual processes and consolidate all information in a single analytics environment, ready to generate actionable insights.

Greater control over pipelines

Build Freshchat data pipelines fast: select the relevant data, set the schedule, frequency, and sync type without writing a single line of code. You keep full control, with complete flexibility.

Edge observability

Monitor your Freshchat pipelines with real-time alerts via email, Slack, or Discord. Stop being caught off guard by sync errors and ensure your data stays up to date and reliable.

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Our customers

Writing data-driven stories

"Erathos has revolutionized the way WePayments approaches data management. With its ability to integrate data from multiple SaaS into a single data warehouse, our technical team can now focus more effectively on the company's core business. With Erathos, we’ve been able to implement dashboards that provide insights across all areas of the company. This has not only enriched our organizational culture but also significantly improved our decision-making process."

Matheus Gobato Nunes

CTO & co-founder @WePayments

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Matheus Gobato Nunes

CTO & co-founder @WePayments

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Trusted by data-driven companies

Simplified data ingestion

Move your data in minutes

Select your data source

More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and establish a pipeline.

Setup your pipeline

Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.

Select your data warehouse

Choose between BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data

FAQ

Frequently Asked Questions

Which Freshchat support data can I bring into the data warehouse?

Erathos syncs Freshchat tickets, conversations, agents, response times, SLAs, and customer satisfaction with your Data Warehouse, enabling complete support analytics.

Is Freshchat data synchronized incrementally?

Yes! The integration with Freshchat via Erathos is incremental by default: only new or changed data is synchronized on each run. This ensures efficient pipelines, lower processing costs, and data that is always up to date in your Data Warehouse.

Can I test the Freshchat integration for free?

Yes! You can test the Freshchat integration for free for 14 days. Just connect Freshchat as a new source—you’ll have two weeks to verify whether the connector meets your needs before any charge is applied.

Which data warehouses can I send Freshchat data to?

With Erathos, you can send data from Freshchat to the leading data warehouses on the market: BigQuery, Snowflake, Redshift, Databricks, Amazon S3, and PostgreSQL. Just choose the destination and set up the pipeline in minutes, with no code required.

Does Erathos integrate Freshchat directly with other systems?

No. Erathos does not provide direct integrations between Freshchat and other systems (“point-to-point”). Our focus is on centralizing Freshchat data in a Data Warehouse, creating a single source of truth so your company can make decisions based on reliable data.

Which Freshchat support data can I bring into the data warehouse?

Erathos syncs Freshchat tickets, conversations, agents, response times, SLAs, and customer satisfaction with your Data Warehouse, enabling complete support analytics.