OctadeskDatabricks

Octadesk + Databricks

Octadesk is a Brazilian customer service platform that centralizes all support channels — WhatsApp, Instagram, email, and chat — into a single screen, featuring AI automations and complete ticket management. Used by over 2,500 companies, Octadesk offers chatbot, helpdesk, and generative AI agent capabilities to scale support without growing the team. Amazon S3, in turn, is AWS's object storage service, widely used as a data lake for large-scale analytics.

With Erathos, Octadesk data arrives in Databricks ready to feed Machine Learning models and advanced analytics pipelines, in the same environment where your team already processes other data sources.

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Trusted by great companies

Ace Startups
Kamino
Convenia
Vakinha
Linus
Rabbot
Auvo
Roqt
Xperiun
Tecnova
WePayments
Brick
CCM
Simplified extraction and ingestion

Move data in a few clicks

1

Connect your source

Authenticate your account and you're done. 100+ ready-made connectors, no code required.

2

Configure the sync

Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.

3

Choose your destination

Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.

What Octadesk data does Erathos sync with Amazon S3?

The integration automatically syncs key Octadesk objects:

  • Chats and messages: conversations, interactions, and full history by channel
  • Tickets: status, priority, owner, and resolution time
  • Ticket interactions: messages, updates, and support history
  • Contacts and organizations: profile data, history, and segmentation
  • Satisfaction surveys: responses and CSAT ratings
  • Tags, groups, forms, priorities, and ticket types: taxonomy and operational configurations

Why sync Octadesk with Databricks?

In Databricks, Octadesk data is ready for Machine Learning models, advanced analytics, and ad-hoc queries, in the same environment where your team already builds data pipelines.

How it works

Erathos connects to Octadesk via official API and syncs your data incrementally: only new or updated records are processed in each run, keeping pipelines fast and Databricks costs predictable. You choose the sync frequency (from 5 minutes to daily), the objects to sync, and the destination dataset. Every run is logged with full observability: execution time, rows processed, errors with context, and instant alerts via Slack or email if anything goes wrong.

Why companies migrate data from Octadesk to Databricks with Erathos

Centralizing Octadesk data into Databricks has never been easier

Erathos is a data ingestion platform built for support and data teams. With the Octadesk connector, you can automatically centralize tickets, chats, contacts, and customer service metrics in Databricks — keeping your support data always available for analytics and dashboards.

Why data teams choose Erathos for Octadesk

Data in your data warehouse in minutes

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Building 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.

Bruno Rosso
Bruno RossoData Analyst, Brick Software

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.

Matheus Nunes
Matheus NunesCTO & co-founder, WePayments

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.

Carlos Schwabe
Carlos SchwabeCo-Founder & CDO, Brick

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.

Thiago Paz
Thiago PazCFO, Brick

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.

Gustavo Loforte
Gustavo LoforteTechnology Manager, CCM Group

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.

Sayuri Valente
Sayuri ValenteProject Manager, Xperiun
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FAQ

Frequently Asked Questions

Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Octadesk to their data warehouse — with complete observability for every run, zero maintenance, and without the opacity of traditional market tools.

Erathos syncs Chats, Messages, Tickets, Ticket Interactions, Contacts, Organizations, CSAT surveys, and all operational configurations (tags, groups, forms, priorities, ticket types and channels) from Octadesk to Databricks.

You can configure table-level sync frequencies ranging from every 5 minutes to daily. Erathos uses incremental syncs—processing only new or updated records on each run—to keep your Octadesk pipeline efficient and your Databricks costs predictable.

Erathos automatically detects pipeline failures and sends alerts to your email, Slack, or Discord with full context — not just "job failed." Smart retries handle transient errors, and every execution is logged with runtimes, rows processed, and error context so your team can debug in minutes, not hours.

Yes. Every Erathos connector comes with a 14-day free trial. Connect Octadesk to Databricks and start syncing immediately — no credit card required.

Data ingestion with control, observability and scale