# Amazon Redshift vs Apache Iceberg

**Leader by Vioscale score:** Apache Iceberg

| Attribute | Amazon Redshift | Apache Iceberg |
|---|---|---|
| **Vioscale score** | 55 (73% (medium)) | 62.2 (56% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 1 |
| adoption.github_stars | - | 9,176 |
| adoption.package_downloads_weekly | - | 11,384,061 |
| deployment.options | `{"cloud":true}` | `{"self_hosted":true}` |
| description.long | A cloud-based data warehouse available in provisioned and serverless deployment models, supporting SQL analytics across data warehouses and data lakes. Redshift integrates with SageMaker for AI workloads and connects to S3 and third-party data sources via zero-ETL integrations. | 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. |
| features.capabilities | `{"in_db_ml":true,"deployment":"managed","sql_dialect":"vendor","architecture":"separated","data_sharing":true,"compute_model":"clusters","license_class":"proprietary","table_formats":"Iceberg, Parquet","semi_structured":"functional","federation_query":true,"streaming_ingest":true,"concurrency_scaling":"automatic"}` | `{"deployment":"embedded","data_sharing":true,"license_class":"permissive","table_formats":"Iceberg (Parquet, ORC, Avro, Puffin data files)","semi_structured":"first_class","federation_query":true,"streaming_ingest":true,"concurrency_scaling":"automatic"}` |
| integrations.count | 7 | 20 |
| integrations.list | `[{"name":"Amazon S3"},{"name":"Amazon SageMaker"},{"name":"Amazon Bedrock"},{"name":"Apache Iceberg"},{"name":"Apache Parquet"},{"name":"Streaming services"},{"name":"Operational databases"}]` | `[{"name":"Spark"},{"name":"Trino"},{"name":"Presto"},{"name":"Flink"},{"name":"Hive"},{"name":"Impala"},{"name":"PyArrow"},{"name":"DuckDB"},{"name":"Polars"},{"name":"Pandas"},{"name":"Ray"},{"name":"Datafusion"},{"name":"BigQuery"},{"name":"SQLAlchemy"},{"name":"S3"},{"name":"GCS"},{"name":"Azure Data Lake Storage"},{"name":"Hadoop"},{"name":"Kerberos"},{"name":"Thrift"}]` |
| language.primary | - | Java |
| license.spdx | - | Apache-2.0 |
| market.availability | `{"hqCountry":"US","primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true,"web":true}` | - |
| pricing | `{"type":"hybrid","plans":[{"free":false,"name":"Provisioned On-Demand","features":["Flexible scaling","Pause and resume","Node type selection","Elastic Resize"],"commitment":"monthly","components":[{"kind":"fixed","amount":0.543,"period":"hour","currency":"USD"}],"description":"Hourly billing for provisioned clusters with no long-term commitments; can pause/resume to avoid charges","contactSales":false},{"free":false,"name":"Provisioned Reserved Instances","features":["Significant discounts over on-demand","Steady-state workloads","Cost predictability"],"commitment":"annual","description":"Discounted pricing for reserved capacity with annual or multi-year commitment","contactSales":false},{"free":false,"name":"Serverless","features":["Automatic capacity scaling","No idle charges","Seconds-based billing","Automatic shutdown"],"components":[{"per":{"qty":1,"unit":"hour"},"kind":"metered","amount":1.5,"currency":"USD"}],"description":"Per-second billing with automatic scaling; no compute charges during idle periods","contactSales":false},{"free":false,"name":"Serverless Reservations","features":["Up to 45% savings on Serverless compute","Cross-account sharing","AWS payer account management"],"commitment":"annual","description":"Discounted Serverless rates; shareable across AWS accounts at the payer account level","contactSales":false}],"addOns":[{"name":"Redshift Managed Storage (RMS)"},{"name":"Concurrency Scaling"},{"name":"Redshift Spectrum"},{"name":"Redshift ML"}],"summary":"Provisioned from $0.543/hour on-demand or discounted reserved rates; Serverless from $1.50/hour per-second billing. Free $300 credit for 90 days on new Serverless accounts.","currency":"USD","freeTier":true,"sourceUrl":"https://aws.amazon.com/redshift/pricing/","retrievedAt":"2026-08-14T15:27:34.606Z","freeTrialDays":90,"startingPrice":{"amount":0.543,"period":"month","currency":"USD"},"billingPeriods":["month","hour","second"]}` | `{"type":"open_source","summary":"Open source, no licensing cost","sourceUrl":"https://iceberg.apache.org","retrievedAt":"2026-08-14T08:32:59.428Z"}` |
| pricing.free_tier | yes | - |
| pricing.model | freemium | open_source |
| pricing.price_level | low | free |
| pricing.transparent | yes | - |
| release.cadence_days | - | 50 |
| release.history | - | `[{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.11.0","date":"2026-05-20T08:47:57Z","type":"stable","version":"apache-iceberg-1.11.0"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.10.2","date":"2026-05-18T21:58:12Z","type":"stable","version":"apache-iceberg-1.10.2"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.10.1","date":"2025-12-22T22:04:42Z","type":"stable","version":"apache-iceberg-1.10.1"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.10.0","date":"2025-09-11T15:08:46Z","type":"stable","version":"apache-iceberg-1.10.0"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.9.2","date":"2025-07-18T13:44:58Z","type":"stable","version":"apache-iceberg-1.9.2"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.9.1","date":"2025-05-28T16:52:05Z","type":"stable","version":"apache-iceberg-1.9.1"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.9.0","date":"2025-04-28T06:27:16Z","type":"stable","version":"apache-iceberg-1.9.0"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.7.2","date":"2025-03-19T10:12:37Z","type":"stable","version":"apache-iceberg-1.7.2"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.8.1","date":"2025-02-28T07:52:17Z","type":"stable","version":"apache-iceberg-1.8.1"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.8.0","date":"2025-02-13T09:13:46Z","type":"stable","version":"apache-iceberg-1.8.0"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.7.1","date":"2024-12-06T20:01:03Z","type":"stable","version":"apache-iceberg-1.7.1"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.7.0","date":"2024-11-08T15:12:01Z","type":"stable","version":"apache-iceberg-1.7.0"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.6.1","date":"2024-08-27T17:47:30Z","type":"stable","version":"apache-iceberg-1.6.1"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.6.0","date":"2024-07-23T12:06:44Z","type":"stable","version":"apache-iceberg-1.6.0"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.5.2","date":"2024-05-16T07:50:32Z","type":"stable","version":"apache-iceberg-1.5.2"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.5.1","date":"2024-04-30T12:43:30Z","type":"stable","version":"apache-iceberg-1.5.1"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.5.0","date":"2024-03-11T11:00:15Z","type":"stable","version":"apache-iceberg-1.5.0"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.4.3","date":"2023-12-27T17:15:46Z","type":"stable","version":"apache-iceberg-1.4.3"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.4.2","date":"2023-11-07T16:44:26Z","type":"stable","version":"apache-iceberg-1.4.2"},{"url":"https://github.com/apache/iceberg/releases/tag/apache-iceberg-1.4.1","date":"2023-10-23T11:03:35Z","type":"stable","version":"apache-iceberg-1.4.1"}]` |
| reliability.status_page | yes | yes |
| security.disclosure_policy | yes | yes |
| security.fedramp | yes | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.pci | yes | - |
| security.scorecard | - | 7.9 |
| security.vulnerabilities | - | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=apache-iceberg&per_page=100","last_12m":0,"max_severity":null}` |

## Capabilities (Data Warehouse Software)

| Capability | Amazon Redshift | Apache Iceberg |
|---|:--:|:--:|
| **Deployment** |  |  |
| Deployment | Managed cloud | Embedded |
| **Architecture** |  |  |
| Architecture | Separated storage/compute | - |
| Compute model | Clusters | - |
| **Query** |  |  |
| SQL dialect | Vendor-specific | - |
| Federation / lakehouse query-in-place | ✓ | ✓ |
| **Interoperability** |  |  |
| Table-format support | Iceberg, Parquet | Iceberg (Parquet, ORC, Avro, Puffin data files) |
| **Scale** |  |  |
| Concurrency scaling | Automatic | Automatic |
| **Ingestion** |  |  |
| Streaming ingest | ✓ | ✓ |
| **Data model** |  |  |
| Semi-structured (JSON/VARIANT) | Functional | First-class |
| **Analytics** |  |  |
| ML / in-DB functions | ✓ | - |
| **Sharing** |  |  |
| Data sharing / marketplace | ✓ | ✓ |
| **Licensing** |  |  |
| Licence class | Proprietary | Permissive OSS |

*Source: Vioscale. Generated 2026-09-01T17:13:32.104Z. "-" = undocumented, not absent.*