A few months ago, in June 2020, we announced the general availability of Netezza for IBM Cloud Pak® for Data on IBM Cloud and Amazon Web Services.
Today, in keeping with our IBM hybrid multicloud strategy, we are once again excited to announce yet another major milestone as we make Netezza ubiquitous in the cloud — the immediate general availability of Netezza on Microsoft Azure.
With this move, customers will now have multiple deployment choices for their Enterprise Data Warehouse and Analytics modernization needs: on-premises with the hyper-converged IBM Cloud Pak for Data System or any cloud (IBM, AWS, Azure, and/or hybrid cloud environments).
Here’s what we are delivering
Scalable and extensible multi-tenant architecture
A scale-out multi-tenant architecture with storage and compute separation built on an open cloud-native extensible platform — IBM Cloud Pak for Data.
Deploy anywhere! Choose the data center or availability zone closest to you, set the number of compute units and amount of storage required to run, and go.
Seamlessly lift and shift to the cloud
Accelerate your journey to the cloud with no drama through a frictionless lift and shift. Activate risk-free upgrades from your on-premises appliances to the cloud with a single built-in command — nz_migrate — to clone your data (warehouse) environment onto any cloud. Or, alternatively, use nzbackup to IBM Cloud Object Storage or Amazon S3 or Azure Blobs — then, nzrestore into your new target cloud data warehouse.
Netezza encrypts data in motion and at rest, with a deployment to your own virtual private cloud (VPC) or VLAN.
Build scale-out data lakes
Netezza provides the capability to build a scale-out, governance-infused, and secured data lake. Or, you can integrate with existing data lakes on IBM Cloud Object Storage, Amazon S3, and now on Azure Blob to ingest data and execute SQL queries on these existing object stores for actionable analytics.
Leverage a containerized database engine deployed to compute nodes — orchestrated by Red Hat OpenShift — providing failure detection and fast failure recovery.
Netezza enables scheduled or ad-hoc backups with the ability to do a partial (table/schema-level) or full restore. Backups are stored in Azure Data Lakes, giving you an inexpensive data store with infinite scale and zone/cross-region availability.
Deploy data science at scale with IBM Cloud Pak for Data’s built-in Watson technologies and Netezza in-database machine learning. Access extensive support for opensource frameworks to build predictive and prescriptive analytics.
Take the Netezza test drive
Experience the simplicity, speed, scalability, and intelligence of Netezza as part of a system of insight through IBM Cloud Pak for Data, on-premises, in the cloud, or both. Talk to your IBM representative today or schedule a free consultation with a Netezza expert. For additional information, visit our Netezza website.