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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Move data in a few clicks
Connect your source
Authenticate your account and you're done. 100+ ready-made connectors, no code required.
Configure the sync
Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.
Choose your destination
Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.
Connect all your sources to S3 Iceberg and build an open data lakehouse
Erathos is a complete ELT platform that loads data into S3 Iceberg from over 100 different sources using instant integrations. With plug-and-play connectors, you can centralize all your data in a single analytical environment and build a Data Warehouse in minutes.
Centralize your data in Iceberg on S3 in minutes
Plug and play connectors
Send data from 100+ sources directly to S3 Iceberg with plug-and-play connectors. Eliminate manual pipelines and consolidate all your data into an open, interoperable data lakehouse.
Learn moreGreater 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.
Learn moreEdge 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.
Learn moreBuilding 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.”
“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.”
“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.”
“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.”
“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.”
“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.”
Questions about Erathos and S3 Iceberg
Erathos connects over 100 data sources directly to S3 Iceberg, including CRMs, ERPs, marketing platforms, financial data, CS tools, and more.
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.
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.
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.
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.