
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
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.
Why Erathos?
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.
Our customers
Trusted by data-driven companies
Simplified data ingestion
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
Data ingestion with control, observability, and scale






















