# Apache Iceberg

> The open table format for analytic datasets.

- **Canonical URI:** https://www.vioscale.ai/software/apache-iceberg
- **Category:** Data Warehouse Software
- **Homepage:** https://iceberg.apache.org
- **Also known as:** apache-iceberg
- **Profile claimed by vendor:** no
- **Last updated:** 2026-08-03T21:41:50.884Z

## Vioscale score

**67.2 / 100**, confidence 34% (low).

Composite of weighted, independently-sourced signals (no user reviews, no vendor payment).

| Signal | Score | Weight | Contribution | Evidence present |
|---|--:|--:|--:|:--:|
| capabilities | 0 | 12 | 0 | - |
| github_stars | 74.7 | 5 | 373.5 | ✓ |
| integrations | 28.8 | 16 | 460.1 | ✓ |
| github_activity | 63.1 | 18 | 1135.8 | ✓ |
| release_cadence | 72.2 | 10 | 722.2 | ✓ |
| security_posture | 0 | 22 | 0 | - |
| package_downloads | 90.4 | 26 | 2349.4 | ✓ |
| stackoverflow_activity | 0 | 12 | 0 | - |

## About

Iceberg is a high-performance format for huge analytic tables that brings the reliability and simplicity of SQL tables to big data, enabling engines like Spark, Trino, Flink, Presto, Hive, and Impala to safely work with the same tables simultaneously.

_Independently observed._

## Platform & deployment
- **Deployment:** Self-hosted

## Integrations (9)

_Independently observed._

- Apache Spark
- Trino
- Flink
- Presto
- Hive
- Impala
- Amoro
- Daft
- RisingWave

## Capabilities

_The capabilities that matter for Data Warehouse Software. "-" = undocumented, not absent._

| Capability | Supported |
|---|:--:|
| **Deployment** | |
| Deployment | Self-hosted |
| **Architecture** | |
| Architecture | Separated storage/compute |
| Compute model | - |
| **Query** | |
| SQL dialect | Vendor-specific |
| **Interoperability** | |
| Table-format support | Apache Iceberg |
| **Scale** | |
| Concurrency scaling | - |
| **Ingestion** | |
| Streaming ingest | - |
| **Data model** | |
| Semi-structured (JSON/VARIANT) | - |
| **Analytics** | |
| ML / in-DB functions | - |
| **Sharing** | |
| Data sharing / marketplace | - |
| **Query** | |
| Federation / lakehouse query-in-place | - |
| **Licensing** | |
| Licence class | Permissive OSS |

## Facts

Every value below carries its source and our confidence. Facts are re-crawled on a freshness schedule.

### activity

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| activity.commits_last_30d | 100 | [link](https://github.com/apache/iceberg/pulse) | 2026-08-03 | 65% (medium) |

### adoption

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| adoption.github_stars | 9,107 | [link](https://github.com/apache/iceberg) | 2026-08-03 | 90% (high) |
| adoption.package_downloads_weekly | 9,054,868 | [link](https://pypistats.org/packages/pyiceberg) | 2026-08-03 | 85% (high) |

### integrations

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| integrations.count | 9 | [link](https://iceberg.apache.org) | 2026-08-03 | 60% (medium) |

### language

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| language.primary | Java | [link](https://github.com/apache/iceberg) | 2026-08-03 | 63% (medium) |

### license

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| license.spdx | Apache-2.0 | [link](https://github.com/apache/iceberg) | 2026-08-03 | 95% (high) |

### release

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| release.cadence_days | 50 | [link](https://github.com/apache/iceberg/releases) | 2026-08-03 | 70% (medium) |

### reliability

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| reliability.status_page | yes | [link](https://iceberg.apache.org/status) | 2026-08-03 | 60% (medium) |

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*Source: Vioscale (https://www.vioscale.ai/software/apache-iceberg). Independent, evidence-based software intelligence. Cite the canonical URI.*