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About

100% compatible with Netezza. Single command-line upgrade path. Available on premises, on cloud or hybrid. IBM® Netezza® Performance Server for IBM Cloud Pak® for Data is an advanced data warehouse and analytics platform available both on premises and on cloud. With enhancements to in-database analytics capabilities, this next generation of Netezza enables you to do data science and machine learning with data volumes scaling into the petabytes. Failure detection and fast failure recovery. Single command-line upgrade to existing systems. Ability to query many systems as one. 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. IBM® Netezza® Performance Server for IBM Cloud Pak® for Data is available on IBM Cloud®, Amazon Web Services (AWS) and Microsoft Azure. Deployable on a private cloud, Netezza is powered by IBM Cloud Pak for Data System.

About

The Stackable data platform was designed with openness and flexibility in mind. It provides you with a curated selection of the best open source data apps like Apache Kafka, OpenSearch, Trino, and Apache Spark. While other current offerings either push their proprietary solutions or deepen vendor lock-in, Stackable takes a different approach. All data apps work together seamlessly and can be added or removed in no time. Based on Kubernetes, it runs everywhere, on-prem or in the cloud. stackablectl and a Kubernetes cluster are all you need to run your first stackable data platform. Within minutes, you will be ready to start working with your data. Configure your one-line startup command right here. Similar to kubectl, stackablectl is designed to easily interface with the Stackable Data Platform. Use the command line utility to deploy and manage stackable data apps on Kubernetes. With stackablectl, you can create, delete, and update components.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies and analysts that require a data warehouse and analytics platform to do data science and machine learning with data volumes

Audience

Enterprises wanting a solution to deploy and run their data platforms on their sovereign Kubernetes.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

IBM
Founded: 1911
United States
www.ibm.com/products/netezza

Company Information

Stackable
Founded: 2020
Germany
stackable.tech/

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Hercules

Hercules

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3X Code Conversion

3X Data Engineering

Categories

Data Warehouse Supported

Categories

Data Integration Supported
Data Management Supported
Data Warehouse Supported

Data Warehouse Features

Ad hoc Query Not Supported
Analytics Supported
Data Integration Supported
Data Migration Supported
Data Quality Control Not Supported
ETL - Extract / Transfer / Load Supported
In-Memory Processing Not Supported
Match & Merge Not Supported

Data Management Features

Customer Data Not Supported
Data Analysis Not Supported
Data Capture Not Supported
Data Integration Not Supported
Data Migration Supported
Data Quality Control Not Supported
Data Security Supported
Information Governance Not Supported
Master Data Management Not Supported
Match & Merge Not Supported

Integrations

Amazon S3 Supported
Apache Airflow Not Supported
Apache Hive Not Supported
Apache Iceberg Not Supported
Apache ZooKeeper Not Supported
Captain Compliance Supported
Cloudera Data Platform Supported
Coginiti Supported
Datametica Supported
Docker Not Supported
Git Not Supported
IBM watsonx.data Supported
Immuta Supported
Impetus Supported
Microsoft 365 Supported
Prometheus Not Supported
SOLIXCloud CDP Supported
Trino Not Supported

Integrations

Amazon S3 Not Supported
Apache Airflow Supported
Apache Hive Supported
Apache Iceberg Supported
Apache ZooKeeper Supported
Captain Compliance Not Supported
Cloudera Data Platform Not Supported
Coginiti Not Supported
Datametica Not Supported
Docker Supported
Git Supported
IBM watsonx.data Not Supported
Immuta Not Supported
Impetus Not Supported
Microsoft 365 Not Supported
Prometheus Supported
SOLIXCloud CDP Not Supported
Trino Supported
Claim IBM Netezza Performance Server and update features and information
Claim IBM Netezza Performance Server and update features and information
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Claim Stackable and update features and information