Apache Iceberg

Apache Iceberg

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Table Format

Open table format for huge analytic datasets in data lakes.

Open Source employees
Open Source Project
Founded 2018
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Product Overview

Apache Iceberg

Apache Iceberg is an open table format for huge analytic datasets. It provides ACID transactions, schema evolution, and time travel capabilities for data lakes, enabling reliable and efficient data management at petabyte scale.

Unique Value Proposition

The industry-standard open table format that brings reliability and performance of data warehouses to data lakes. Iceberg enables ACID transactions, concurrent writes, and time travel on petabyte-scale datasets with broad ecosystem support.

Categories

Table Format
Data Lake
Data Lakehouse
Metadata Management
Storage Format

Target Market

Industries

Technology
Financial Services
Retail
Media & Entertainment
Telecommunications
Healthcare

Company Size

1000 - 50000 employees

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Key Features

ACID Transactions
Schema Evolution
Time Travel
Hidden Partitioning
Partition Evolution
Snapshot Isolation
Incremental Processing
File Pruning
Metadata Management
Compaction
Multi-Table Transactions
Row-Level Updates
Merge-on-Read
Copy-on-Write
Statistics Tracking

Integrations

Apache Spark
Trino
Presto
Apache Flink
Dremio
Snowflake
Databricks
AWS Athena
AWS Glue
Google BigQuery
Apache Hive
Impala
StarRocks
ClickHouse
DuckDB
API Available
View Docs

Security Features

File-Level Encryption
Access Control Integration
Audit Trail Support
Column-Level Encryption

Implementation & Support

Implementation Time

5 weeks (30 days)

Deployment Options

Cloud
On-Premise
Hybrid

Support Hours

Community Support