Amazon Redshift vs Apache Iceberg
On the evidence we track, Apache Iceberg leads this comparison with a composite score of 60/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for data warehouse software. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Amazon Redshift
A managed cloud data warehouse that combines traditional warehouse analytics with data lake query capabilities through a unified SQL engine, powered by AWS Graviton processors for high performance and cost efficiency.
Apache Iceberg
LeaderA table format that brings SQL capabilities to large-scale analytical datasets and enables multiple computing engines to safely and concurrently query and modify the same tables.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Amazon Redshift
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.
- Provisioned On-Demand$0.54/hr
- Flexible scaling
- Pause and resume
- Node type selection
- Elastic Resize
- Provisioned Reserved Instances-
- Significant discounts over on-demand
- Steady-state workloads
- Cost predictability
- Serverless$1.50 per hour
- Automatic capacity scaling
- No idle charges
- Seconds-based billing
- Automatic shutdown
- Serverless Reservations-
- Up to 45% savings on Serverless compute
- Cross-account sharing
- AWS payer account management
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Amazon Redshift
- Amazon S3
- Amazon SageMaker
- Amazon Bedrock
- Apache Iceberg
- Apache Parquet
- Streaming services
- Operational databases
- Amazon MSK
Apache Iceberg
Leader- Spark
- Trino
- Presto
- Flink
- Hive
- Impala
- PyArrow
- DuckDB
- Polars
- Pandas
- Ray
- Datafusion
- BigQuery
- SQLAlchemy
- S3
- GCS
- Azure Data Lake Storage
- Hadoop
- Kerberos
- Thrift
- Avro
- Parquet
- ORC
Amazon Redshift or Apache Iceberg: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.