Related Products
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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.
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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.
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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
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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
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Audience
Companies and analysts that require a data warehouse and analytics platform to do data science and machine learning with data volumes
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Audience
Enterprises wanting a solution to deploy and run their data platforms on their sovereign Kubernetes.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationIBM
Founded: 1911
United States
www.ibm.com/products/netezza
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Company InformationStackable
Founded: 2020
Germany
stackable.tech/
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Alternatives |
Alternatives |
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Categories |
Categories |
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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
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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
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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
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