[ Tech stack ]
Apache Iceberg
The open table format that brings ACID transactions and schema evolution to the data lake.
Apache Iceberg is an open table format for analytic datasets on object storage (S3, GCS, Azure): a metadata layer over Parquet or ORC files that adds ACID transactions, schema and partition evolution without rewrites, and snapshots for time travel and rollback. Spark, Trino, Flink, Snowflake, BigQuery, Athena and DuckDB read and write the same tables through a shared catalog (REST, Glue, Nessie). It's our choice when a lakehouse must stay vendor-independent while guaranteeing data reliability.
[ Why Apache Iceberg at Dexon ]
What this technology does well, and why we use it.
Typical usage: Open multi-engine lakehouse, migration off proprietary warehouses, data history and auditing.
- 01
ACID transactions on object storage: consistent reads, safe concurrent writes.
- 02
Schema and partition evolution without rewriting the data.
- 03
Snapshots: time travel, rollback and an audit trail for every table version.
- 04
Multi-engine: Spark, Trino, Flink, Snowflake and BigQuery on the same tables.
[ Complementary technologies ]
The building blocks we often mobilise alongside.
A stack rarely exists alone. Here are the technologies Dexon most often pairs with this one, through pipeline habits, usage similarity or internal mastery. Click on a building block to see its scope.
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