Apache Iceberg
An open table format designed for storing and managing large-scale analytical datasets
- Also known as
- apache-iceberg
What is Apache Iceberg?
A standardized table format for analytics data at scale. PyIceberg is a Python implementation providing programmatic access to table metadata and data stored in this format.
Apache Iceberg pricing
We don't have Apache Iceberg's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
Open source, no licensing cost
What Apache Iceberg does
The capabilities that matter for data warehouse software, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Deployment
- Embedded
- Architecture
- -
- Compute model
- -
- SQL dialect
- -
- Federation / lakehouse query-in-place
- ✓
- Table-format support
- Iceberg (Parquet, ORC, Avro, Puffin data files)
- Concurrency scaling
- Automatic
- Streaming ingest
- ✓
- Semi-structured (JSON/VARIANT)
- First-class
- ML / in-DB functions
- -
- Data sharing / marketplace
- ✓
- Licence class
- Permissive OSS
Platform & deployment
Independently observed- CLI
- macOS
- Linux
- Windows
- Self-hosted
Integrations (20)
Independently observed- Spark
- Trino
- Presto
- Flink
- Hive
- Impala
- PyArrow
- DuckDB
- Polars
- Pandas
- Ray
- Datafusion
- BigQuery
- SQLAlchemy
- S3
- GCS
- Azure Data Lake Storage
- Hadoop
- Kerberos
- Thrift
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Apache Iceberg FAQ
Common questions about Apache Iceberg, answered from independent, dated evidence.
What is Apache Iceberg?
Apache Iceberg is a table format that enables reliable, ACID-compliant SQL operations on big data. It allows multiple query engines—such as Spark, Trino, Flink, Hive, and Impala—to safely read and write the same tables concurrently, bringing traditional database semantics to analytics workloads. It is indexed under Data Warehouse Software.
Source: https://iceberg.apache.org
Is Apache Iceberg free to use?
Apache Iceberg is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.
Source: https://iceberg.apache.org
Can Apache Iceberg be self-hosted?
Yes. Apache Iceberg can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://iceberg.apache.org
What does Apache Iceberg integrate with?
We have confirmed 20 integrations for Apache Iceberg, including Spark, Trino, Presto, Flink, Hive, Impala, PyArrow and DuckDB, plus 12 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://iceberg.apache.org
Is Apache Iceberg open source?
Yes. Apache Iceberg is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Apache Iceberg alternatives
Other data warehouse software we track, ranked by the same independent score.
- SingleStoreA real-time database platform for seamless integration with data lakes and lakehousesmedium · 72%
- Dremiomedium · 69%
- SnowflakeA fully managed cloud platform for data, analytics, and AI workloadsmedium · 65%
- Google BigQueryConvert a traditional data warehouse into an intelligent, AI-powered analytics platformmedium · 50%
- FireboltAn open-source distributed query engine for real-time and batch analytics, deployable from a laptop to enterprise clusters with per-second billing.medium · 74%
- Delta LakeAn open-source storage format that unifies data warehousing, analytics, and machine learning across query engines and infrastructure typesmedium · 60%
Compare Apache Iceberg
Side by side against other data warehouse software, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Apache Iceberg, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Package downloads | 92 | 0.14 | 12.5 | ✓ |
| Development activity | 63 | 0.09 | 5.9 | ✓ |
| Release cadence | 72 | 0.05 | 3.8 | ✓ |
| Capabilities | 58 | 0.06 | 3.6 | ✓ |
| Security score | 80 | 0.04 | 3.4 | ✓ |
| Integrations | 38 | 0.07 | 2.8 | ✓ |
| Stars | 75 | 0.03 | 1.9 | ✓ |
| Dependent projects | 5 | 0.06 | 0.3 | ✓ |
| Security posture | 5 | 0.12 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 100 | mediumsource · 2026-09-10 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 5 items | mediumsource · 2026-09-10 · 67% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Deployment: embedded · Data sharing: Yes · License class: permissive · Table formats: Iceberg (Parquet, ORC, Avro, Puffin data files) · Semi structured: first_class · Federation query: Yes | mediumsource · 2026-08-14 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 20 | mediumsource · 2026-08-14 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Java | mediumsource · 2026-09-10 · 63% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-09-10 · 95% |
Pricing
Release
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-08-14 · 60% |
Security
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