NuviaSnowflake
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Nuvia + Snowflake

Nuvia is a customer service platform powered by AI agents, centralizing conversations, contacts, campaigns, and knowledge bases in a single place. With Nuvia, businesses automate customer support across multiple channels while keeping a complete history of every interaction.

With Erathos, you can integrate Nuvia data into Snowflake in just a few minutes. Our platform handles the entire data movement process to your analytical environment, allowing you to join this data with other sources in your Data Warehouse. This frees up your time to focus on what actually drives value: extracting actionable insights and making more data-driven decisions.

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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 Nuvia data does Erathos sync to Snowflake?

The integration automatically syncs Nuvia's core objects:

  • Agents configurations, models, and status of each AI agent
  • Conversations subject, status, and links to agents and contacts, with incremental sync
  • Messages content, type, and sender of each message exchanged
  • Contacts registration details and status of each contact
  • Campaigns status, type, and subscriptions for each campaign
  • Inboxes and Knowledge Base inboxes and articles used by the agents
  • Custom Tables custom tables and records created in Nuvia, with incremental sync

Why sync Nuvia with Snowflake?

Inside Snowflake, you can combine Nuvia support data with other sources using elastic compute, preventing resource contention between different teams querying the same data simultaneously.

How it works

Erathos connects to Nuvia via official API, syncing conversations and custom tables incrementally—only new or updated records are processed in each run, keeping pipelines fast and costs predictable. Other objects (agents, contacts, campaigns, messages, inboxes, and knowledge bases) are synced via full-refresh. You choose the sync frequency, the objects to sync, and the target dataset in Snowflake. Every run is logged with full observability: execution time, rows processed, error context, and instant alerts via Slack or email if anything goes wrong.

Why companies move data from Nuvia to Snowflake with Erathos

Centralizing Nuvia data into Snowflake has never been easier

Erathos is a data ingestion platform for support and data teams. With the Nuvia connector, you can automatically centralize conversations, agents, contacts, and campaigns in Snowflake, keeping support data always ready for analysis.

Why data teams choose Erathos for Nuvia

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 Nuvia to their data warehouse, providing full observability into every run, zero maintenance, and none of the opacity of traditional tools on the market.

Erathos syncs Agents, Conversations, Messages, Contacts, Campaigns, Inboxes, Knowledge Base, and custom tables from Nuvia to Snowflake. Conversations and custom tables sync incrementally.

Custom conversations and tables sync incrementally—ranging from every 5 minutes to daily—at the table level. All other objects sync via full-refresh on every run, keeping Nuvia's pipeline efficient and 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, allowing your team to debug in minutes, not hours.

Yes. Every Erathos connector includes a 14-day free trial. Connect Nuvia to Snowflake and start syncing as soon as your destination is ready—no credit card required.

Data ingestion with control, observability and scale