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Sienge + Redshift

Sienge is the leading technology ecosystem in the construction and real estate industry in Brazil. Used by more than 9,000 clients — including 77 of the country's top 100 builders —, Sienge centralizes construction management, finance, purchasing, contracts, inventory, and after-sales in a single integrated platform. Redshift is AWS's managed data warehouse, designed for large-scale analytics within the Amazon ecosystem.

With Erathos, you can integrate Sienge data into Redshift in a matter of minutes. Our platform handles the entire data pipeline to your analytical environment, allowing you to blend this data with other sources in your Data Warehouse. This way, your time is focused on what truly drives value — extracting valuable insights and making more data-driven decisions.

What Sienge data does Erathos sync with Redshift?

The integration automatically syncs Sienge's main objects:

  • Construction Projects — daily logs, schedules, cost estimates, and physical progress

  • Finance — accounts receivable, bank slips, transactions, and cash flow

  • Contracts — customer data, units, status, and change history

  • Purchasing — orders, suppliers, quotes, and purchase orders

  • Inventory — material movements, balances, and requisitions

  • Units — properties, developments, delivery status, and after-sales

Why sync Sienge with Redshift?

Sienge's native reports are useful for daily operations, but they have a clear limit. Moving your data to Redshift allows you to join it with other sources in the AWS ecosystem — sales data, marketing, actual construction costs, and quality metrics — to answer questions that Sienge alone cannot. Actual cost per development. Budget variance by stage. Profitability per unit.

How it works

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

No credit card required.

Why data teams choose Erathos for Sienge

Data in your data warehouse in minutes

Data in your data warehouse in minutes

Production-ready Sienge connector

Connect Sienge to Redshift and automatically export construction, financial, contract, and inventory data. Centralize your data for analysis — no CSVs, no scripts.

Complete control over your Sienge pipelines

Configure sync frequency and sync type per table. Incremental sync for Redshift — only new records are processed in each run, without reprocessing everything from scratch.

End-to-end observability

Stop finding out about pipeline failures only when the business team complains. Every run is logged with its duration, rows processed, and error context. Get automatic alerts via Slack, Discord, or email the moment something goes wrong.

No credit card required

No credit card required

What is Erathos?

Centralizing Sienge data into Redshift has never been easier

Erathos is a data ingestion platform built for data and operations teams. With the Sienge connector, you can automatically export construction, financial, contract, and inventory data into Redshift — keeping your data centralized and analytics-ready within the AWS ecosystem.

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Our Customers

Writing data-driven stories

Writing data-driven stories

  • bruno-brick

    1

    bruno-brick

    Bruno Rosso

    Data Analyst

    brick-companylogo

    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.

    bruno-brick

    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.

    bruno-brick

    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.

    kaue-uooushop

    2

    kaue-uooushop

    Kauê Raizer

    Co-founder

    uooushop-companylogo

    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.

    bruno-brick

    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.

    bruno-brick

    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.

    carlos-brick

    5

    carlos-brick

    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.

    bruno-brick

    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.

    thiago-brick

    7

    thiago-brick

    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.

    felipe-uooushop

    8

    felipe-uooushop

    Felipe Corrêa

    CTO & Co-founder

    Uooushop-companylogo

    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.

  • bruno-brick

    1

    bruno-brick

    Bruno Rosso

    Data Analyst

    brick-companylogo

    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.

    bruno-brick

    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.

    bruno-brick

    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.

    kaue-uooushop

    2

    kaue-uooushop

    Kauê Raizer

    Co-founder

    uooushop-companylogo

    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.

    bruno-brick

    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.

    bruno-brick

    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.

    carlos-brick

    5

    carlos-brick

    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.

    bruno-brick

    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.

    thiago-brick

    7

    thiago-brick

    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.

    felipe-uooushop

    8

    felipe-uooushop

    Felipe Corrêa

    CTO & Co-founder

    Uooushop-companylogo

    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

Move your data in minutes

Move your data in minutes

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

Frequently Asked Questions

Frequently Asked Questions

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 their tools—like Sienge—to their data warehouse, without the maintenance overhead of in-house pipelines or the opacity of traditional ETL tools. Our customers reduce pipeline maintenance by up to 80%.

Does Erathos sync Sienge historical data to Redshift?

Yes. During the first sync, Erathos performs a full historical load of your Sienge data. From then on, subsequent syncs are incremental — only new or updated records are processed, keeping the pipeline efficient and Redshift costs predictable.

How often does Erathos sync data from Sienge to Redshift?

You can configure sync frequencies from every 5 minutes to daily, down to the table level. Erathos uses incremental syncs—only new or updated records are processed on each run, keeping your Sienge pipeline efficient and your Redshift costs predictable.

What happens if a Sienge sync fails?

Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context — not just 'job failed.' Intelligent retries handle transient errors, and every run is logged so your team can debug in minutes, not hours.

Is there a free trial available for the Sienge connector?

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

Data ingestion with control, observability, and scale

Data ingestion with control, observability, and scale