Centralize your data in S3 with Iceberg

Apache Iceberg on Amazon S3 is a data lakehouse architecture that combines the scalability and low cost of S3 storage with the analytical capabilities of a data warehouse — such as ACID transactions, time travel, schema evolution, and partition pruning. Used by companies that need an open analytics lake interoperable with engines like Spark, Trino, Athena, and Flink, Iceberg on S3 is the ideal choice for those who want full control over their data without being locked into a proprietary vendor.

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Create a single source of truth

Connect all your data sources to S3 Iceberg

Connect all your data sources to S3 Iceberg

Accounting Domain + Amazon S3

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Active Campaign + Amazon S3

Agendor + Amazon S3

Airtable + Amazon S3

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Why use Erathos to ingest data into S3 Iceberg?

Connect all your sources to S3 Iceberg and build an open data lakehouse

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.

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Why Erathos?

Centralize your data in Iceberg on S3 in minutes

Centralize your data in Iceberg on S3 in minutes

Plug and play connectors

Send data from 80+ sources directly to S3 Iceberg with plug-and-play connectors. Eliminate manual processes and consolidate all your data into an open, interoperable data lakehouse.

Greater control over pipelines

Set up ingestion pipelines for S3 Iceberg quickly: select sources, define schedules and frequencies without writing a single line of code. You keep full control over schema evolution, partitioning, and data retention.

Edge observability

Monitor the health of your pipelines to S3 Iceberg with real-time alerts via email, Slack, or Discord. Always up-to-date, reliable data in your lakehouse.

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Our customers

Writing data-driven stories

Writing data-driven stories

  • Gustavo Loforte

    Engineering Manager

    Erathos was a total game-changer for CCM. We managed to integrate our financial systems, CRM, and internal processes with BigQuery in just a few clicks, without needing a data engineering team. This gave us a reliable data warehouse that powers our automations, dashboards, and even our customer service bots.

    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.

    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.

    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.

    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.

    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.

  • Gustavo Loforte

    Engineering Manager

    Erathos was a total game-changer for CCM. We managed to integrate our financial systems, CRM, and internal processes with BigQuery in just a few clicks, without needing a data engineering team. This gave us a reliable data warehouse that powers our automations, dashboards, and even our customer service bots.

    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.

    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.

    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.

    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.

    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.

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 establish a pipeline.

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 BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data

FAQ

Frequently Asked Questions

Frequently Asked Questions

Which data sources can I connect to S3 Iceberg with Erathos?

Erathos connects over 80 data sources directly to S3 Iceberg, including CRMs, ERPs, marketing platforms, financial data, CS tools, and much more.

Is data ingestion into S3 Iceberg via Erathos incremental?

Yes! All ingestion pipelines to S3 Iceberg run incrementally by default, leveraging Iceberg's ACID transactions. Only new or changed data is synced, ensuring efficiency and lower cost.

Can I try sending data to S3 Iceberg for free?

Yes! You can try the S3 Iceberg integration free for 14 days. Just connect a source and set up S3 Iceberg as the destination — no credit card required.

Does S3 Iceberg require any special configuration to ingest data from Erathos?

No. Erathos automatically manages the entire connection and the Iceberg schema. You only need to provide the AWS credentials and the S3 bucket — Erathos takes care of creating the Iceberg tables, partitioning, and incremental loading.

Which analytics engines can I use to query the data in S3 Iceberg?

The data loaded into Iceberg on S3 by Erathos is compatible with the leading engines on the market: Amazon Athena, Apache Spark, Trino, Flink, and Dremio. Iceberg’s open format ensures full interoperability without vendor lock-in.

Which data sources can I connect to S3 Iceberg with Erathos?

Erathos connects over 80 data sources directly to S3 Iceberg, including CRMs, ERPs, marketing platforms, financial data, CS tools, and much more.

Is data ingestion into S3 Iceberg via Erathos incremental?

Yes! All ingestion pipelines to S3 Iceberg run incrementally by default, leveraging Iceberg's ACID transactions. Only new or changed data is synced, ensuring efficiency and lower cost.

Can I try sending data to S3 Iceberg for free?

Yes! You can try the S3 Iceberg integration free for 14 days. Just connect a source and set up S3 Iceberg as the destination — no credit card required.

Does S3 Iceberg require any special configuration to ingest data from Erathos?

No. Erathos automatically manages the entire connection and the Iceberg schema. You only need to provide the AWS credentials and the S3 bucket — Erathos takes care of creating the Iceberg tables, partitioning, and incremental loading.

Which analytics engines can I use to query the data in S3 Iceberg?

The data loaded into Iceberg on S3 by Erathos is compatible with the leading engines on the market: Amazon Athena, Apache Spark, Trino, Flink, and Dremio. Iceberg’s open format ensures full interoperability without vendor lock-in.

Data ingestion with control, observability, and scale

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