IBM Netezza
Real-time data streaming at enterprise scale: built on Kafka, engineered for production.
The same analytics power, without the appliance
On-premises Netezza appliances carry infrastructure costs and maintenance overhead that grow over time and a scalability ceiling that makes it increasingly difficult to support the analytical and AI workloads modern business demands. Netezza SaaS removes that burden while preserving what matters: the same performance engine, the same SQL workloads, and near-100% compatibility with existing Netezza environments.
Find out more on the IBM website: IBM Netezza >
Query performance that grows with your data
Netezza SaaS is built for speed at scale – high-performance query processing across petabytes of data, with an AI-powered query optimiser that accelerates results without manual tuning. Compute and storage scale independently on demand, so performance stays consistent as data volumes and workload complexity grow.
Deploy Netezza on your terms
Netezza SaaS runs fully managed on IBM Cloud, with a Bring Your Own Cloud model available on both AWS and Azure – deploying within your own cloud environment so data stays under your governance and compliance controls. For organisations needing maximum flexibility, Netezza Software-Only runs on your own hardware, in any cloud, or across hybrid environments.
Open and AI-ready
Netezza SaaS supports open table and data formats including Apache Iceberg and Parquet, with native cloud object storage integration and lakehouse connectivity via IBM watsonx.data. Analytics and AI workloads run against the same data without duplication or additional movement, making Netezza a practical foundation for organisations building towards AI-ready architecture.Confluent in action
For organisations running Netezza on-premises, modernisation to Netezza SaaS is the most straightforward path — preserving existing workloads while removing infrastructure overhead. Dot Group plans and delivers these migrations across financial services, retail, and manufacturing, sequencing the programme to maintain business continuity throughout.
Where Netezza sits alongside broader modernisation work – database consolidation, pipeline modernisation, or a move to a unified analytics platform – we join that up rather than treating it in isolation.
Running an on-premises Netezza estate?
Talk to us about what a realistic migration programme looks like.

