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Apache Iceberg

Free

Open table format for huge analytic datasets with ACID transactions on object storage.

Open SourceSelf-hostedJava SDKPython SDKSQL SDK

Tool Info

Categories
Data Engineering
Official Website
iceberg.apache.org
Repository
apache/iceberg
Official Docs

Overview

Apache Iceberg brings relational table semantics to data lakes on S3, GCS, and Azure.

It supports schema evolution, time travel, and concurrent writes without directory listing.

Used by Netflix, Apple, and major cloud vendors as a lakehouse foundation.

Pricing

Free tier available
Free (open source)

Pros

  • ACID on object storage
  • Engine-agnostic
  • Hidden partitioning

Best For

Lakehouse architecturesTime-travel queriesSchema evolution

When NOT to Use

  • Catalog setup complexity
  • Ecosystem still consolidating

Related Tools

Apache Spark
Unified analytics engine for large-scale data processing and ML workloads.
Apache Flink
Stream-first data processing engine for real-time analytics and event pipelines.
dbt
Transform data in your warehouse using version-controlled SQL models.

Alternatives

Delta Lake
Open storage layer that brings ACID transactions to Apache Spark and lakehouses.

Often Compared With

Delta Lake
Open storage layer that brings ACID transactions to Apache Spark and lakehouses.

Compare With

Compare with Delta Lake

Tags

#lakehouse#table-format#data-engineering

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