What is Erathos and how can it help my company?

Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Twygo to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity found in traditional market tools.

Which Twygo data does Erathos synchronize to Amazon S3?

Erathos automatically syncs Twygo’s main objects and entities to Amazon S3. To check which specific tables and fields are available in the Twygo connector, see our documentation or contact our support team.

How often does Erathos synchronize data from Twygo to Amazon S3?

You can configure synchronization frequency from every 5 minutes up to once a day, at the table level. Erathos uses incremental synchronization—only new or updated records are processed in each run, keeping Twygo’s pipeline efficient and Amazon S3 costs predictable.

What happens if a Twygo 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 execution is logged with run time, processed rows, and error context so your team can debug in minutes, not hours.

Is there a free trial period for the Twygo connector?

Yes. Every Erathos connector includes a 14-day free trial. Connect Twygo to Amazon S3 and start syncing immediately—no credit card required.

Twygo to Amazon S3: files for Athena and Spark

Which Twygo data does Erathos sync with Amazon S3?

The integration automatically syncs key Twygo objects:

Core entities: automatically synced objects and records
Custom fields: custom properties included in the sync
Historical data: full initial load and incremental updates

Why sync Twygo with Amazon S3?

In Amazon S3, your Twygo data is available in open formats, ready to be queried via Athena, Spark, or any analytical engine, without being locked into a specific data warehouse.

Available data

What Twygo sends to Amazon S3

4 Twygo tables can be synced to Amazon S3. Each table is created in Amazon S3 with the same name it has in the connector, inside the schema you choose when setting up the connection.

A closer look at some tables

courses

7 fields

Primary key: id
Some of the fields: idcreated_atimage_pathinfonametagsupdated_at

students

22 fields

Primary key: id
Some of the fields: idaddressaddress_numbercell_phonecpfdepartmentdistrictemailenable_communitiesenterprisefirst_nameis_managerand 10 more

Available tables

courses
portfolio
students
students_events · under students

Why do data teams choose Erathos for Twygo?

Data in your data warehouse in minutes

Ready-to-use Twygo connector

Connect Twygo to Amazon S3 in minutes with our native connector. Data is automatically synchronized—no code required, with full observability into every run.

Learn more

Complete control over your Twygo pipelines

Configure the frequency, partitioning, and format of files generated in S3. Data arrives organized by date and time—ready for Athena, Spark, or any tool.

Learn more

End-to-end observability

Stop finding out about Twygo failures only when the business team complains. Every run is logged with runtime, rows processed, and error context. Get automatic alerts via Slack, Discord, or email as soon as something goes off track — with data always up to date and ready for analysis.

Learn more

Start for free Book a demo

14-day free trial. No credit card required.

Our partners

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 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 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 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 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 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 ValenteProject Manager, Xperiun

“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 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 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 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 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 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 ValenteProject Manager, Xperiun

“We have several platforms to run the company (WhatsApp, support, finance) and there's no single magic system that solves everything. Centralizing with Erathos gave us a GPS to structure the company: today we can look at NPS and churn in a consolidated way and use that to make decisions. If I were to tell another founder one thing: centralize your data from day 1.”

Kauê RaizerCo-founder, UoouShop

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

Fernando R.Head of Data, Kamino

“It was impossible to keep the operation running on spreadsheets. Erathos fit like a glove: it became the data engineer I didn't have. We managed to cut analysis time, create weekly data rituals, and — most importantly — trust the information we use.”

Fernando CostaCTO & co-founder, Jovens Gênios

“Erathos is essential for anyone who wants a fast go-live centralizing data from multiple sources. We needed to build a Data Warehouse quickly, without the challenge of manually integrating several tools. We managed to integrate 6 different data sources in a single day, something that would have taken weeks without Erathos. The BigQuery integration worked well from day one.”

Felipe CorrêaCTO & co-founder, UoouShop

“I'd describe my experience with Erathos as smooth — I didn't have any major issues migrating from our previous data movement platform. Support is always impeccable, both for answering questions and resolving issues. I recommend it to everyone, without a doubt.”

Luis RibasCTO, WOW Lavacar

“The cost-benefit is excellent, it makes sense given the software engineering team they've built and the engineering support. I've never had a headache with the Erathos team, I've had issues with other service providers before, and that doesn't happen with Erathos.”

Lucas GalvãoData Engineer, Linus

“We have several platforms to run the company (WhatsApp, support, finance) and there's no single magic system that solves everything. Centralizing with Erathos gave us a GPS to structure the company: today we can look at NPS and churn in a consolidated way and use that to make decisions. If I were to tell another founder one thing: centralize your data from day 1.”

Kauê RaizerCo-founder, UoouShop

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

Fernando R.Head of Data, Kamino

“It was impossible to keep the operation running on spreadsheets. Erathos fit like a glove: it became the data engineer I didn't have. We managed to cut analysis time, create weekly data rituals, and — most importantly — trust the information we use.”

Fernando CostaCTO & co-founder, Jovens Gênios

“Erathos is essential for anyone who wants a fast go-live centralizing data from multiple sources. We needed to build a Data Warehouse quickly, without the challenge of manually integrating several tools. We managed to integrate 6 different data sources in a single day, something that would have taken weeks without Erathos. The BigQuery integration worked well from day one.”

Felipe CorrêaCTO & co-founder, UoouShop

“I'd describe my experience with Erathos as smooth — I didn't have any major issues migrating from our previous data movement platform. Support is always impeccable, both for answering questions and resolving issues. I recommend it to everyone, without a doubt.”

Luis RibasCTO, WOW Lavacar

“The cost-benefit is excellent, it makes sense given the software engineering team they've built and the engineering support. I've never had a headache with the Erathos team, I've had issues with other service providers before, and that doesn't happen with Erathos.”

Lucas GalvãoData Engineer, Linus

See our customer success stories

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Other paths for your data

Other destinations for Twygo

Other sources that land in Amazon S3

CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.

See every source

Twygo + Amazon S3

Move data in a few clicks

Connect your source

Configure the sync

Choose your destination

Which Twygo data does Erathos sync with Amazon S3?

Why sync Twygo with Amazon S3?

What Twygo sends to Amazon S3

A closer look at some tables

courses

students

Available tables

Centralizing Twygo data in Amazon S3 has never been easier

Data in your data warehouse in minutes

Ready-to-use Twygo connector

Complete control over your Twygo pipelines

End-to-end observability

Building data-driven stories

Other paths for your data

Other destinations for Twygo

Twygo + Azure SQL Server

Twygo + Azure Synapse

Twygo + BigQuery

Twygo + ClickHouse

Twygo + Databricks

Twygo + PostgreSQL

Twygo + Redshift

Twygo + Snowflake

Twygo + Supabase

Other sources that land in Amazon S3

Frequently Asked Questions

Data ingestion with control, observability and scale