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Amazon Redshift vs IBM Netezza

Amazon Redshift: AWS's MPP columnar data warehouse, available as provisioned RA3 clusters or Serverless. IBM Netezza: IBM's FPGA-accelerated MPP warehouse, now offered as NPS on-prem, in Cloud Pak and as a service.

key differences

  • Amazon Redshift is primarily a columnar / OLAP database; IBM Netezza is relational.
  • Amazon Redshift is built for larger datasets (Multi-PB) than IBM Netezza (≤ 1 PB).
  • Only Amazon Redshift has geospatial, columnar storage, online schema changes, streaming ingest.
  • Amazon Redshift has a serverless option; IBM Netezza does not.

choose amazon-redshift for

  • +Enterprise data warehouse on AWS
  • +BI dashboards over curated marts
  • +Lakehouse queries over S3 with Spectrum
  • +Near-real-time analytics on Aurora data via zero-ETL

best at · Warehouse, OLAP, Lakehouse

choose ibm-netezza for

  • +Existing Netezza estates seeking continuity
  • +Regulated on-prem warehousing
  • +Hybrid setups with IBM watsonx.data

best at · Warehouse, OLAP

Amazon RedshiftAWS's MPP columnar data warehouse, available as provisioned RA3 clusters or Serverless.
IBM NetezzaIBM's FPGA-accelerated MPP warehouse, now offered as NPS on-prem, in Cloud Pak and as a service.
overview
Primary model
Columnar / OLAP
Relational
Also supports
Relational, Document, Spatial
–
Type
Managed service
Database engine
Status
Active
Active
Developer
Amazon Web Services
IBM
First release
2012
2003
Latest version
–
–
License
ProprietaryProprietary
ProprietaryProprietary
Free tier
—
—
popularity
WhichDB Score
55.8
15.1
Rank
#21
#222
GitHub stars
–
–
Stack Overflow questions
8.8K
1.4K
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
Read replicas
Read replicas
ACID
Full
Full
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
Distributed, Shared storage, Serverless
Distributed, Client server
deployment
Self-hosted
—
✓
Vendor-managed cloud
✓
✓
Serverless
✓
—
Embedded
—
—
Edge
—
—
Clouds
AWS
AWS, Azure, IBM Cloud
capabilities
Transactions
✓
✓
Joins
✓
✓
Secondary indexes
—
—
Full-text search
—
—
Vector search
—
—
Geospatial
✓
—
JSON
✓
✓
Change data capture
—
—
Triggers
—
—
Stored procedures
✓
✓
Materialized views
✓
✓
TTL / expiry
—
—
Pub/Sub
—
—
Columnar storage
✓
—
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
✓
✓
Role-based access
✓
✓
Time travel
—
—
Branching
—
—
Online schema changes
✓
—
Streaming ingest
✓
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
SQL (PostgreSQL dialect), PL/pgSQL
SQL, NZPLSQL
Client languages
Python, Java, JavaScript, Go, .NET, C
Java, Python, C, .NET, Go
Best for
Warehouse, OLAP, Lakehouse
Warehouse, OLAP
Add more to this comparisonNot sure either fits? Try smart match

Amazon Redshift vs IBM Netezza: FAQ

What is the difference between Amazon Redshift and IBM Netezza?

Amazon Redshift: AWS's MPP columnar data warehouse, available as provisioned RA3 clusters or Serverless. IBM Netezza: IBM's FPGA-accelerated MPP warehouse, now offered as NPS on-prem, in Cloud Pak and as a service. Amazon Redshift is primarily a columnar / OLAP database; IBM Netezza is relational. Amazon Redshift is built for larger datasets (Multi-PB) than IBM Netezza (≤ 1 PB). Only Amazon Redshift has geospatial, columnar storage, online schema changes, streaming ingest.

When should I choose Amazon Redshift over IBM Netezza?

Choose Amazon Redshift for enterprise data warehouse on AWS, BI dashboards over curated marts and lakehouse queries over S3 with Spectrum. Choose IBM Netezza for existing Netezza estates seeking continuity, regulated on-prem warehousing and hybrid setups with IBM watsonx.data.

Is Amazon Redshift or IBM Netezza more popular?

Amazon Redshift ranks #21 on the WhichDB Score (55.8/100) and IBM Netezza ranks #222 (15.1/100). Popularity is not fit: check the requirements that matter for your project.

Are Amazon Redshift and IBM Netezza open source?

No. Amazon Redshift is proprietary, closed-source software. No. IBM Netezza is proprietary, closed-source software.