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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 only fully managed cloud data lakehouse designed to ingest from all your data sources in minutes and support all your query engines at scale, for a fraction of the cost. Ingest from databases and event streams at TB-scale in near real-time, with the simplicity of fully managed pipelines. Query your data with any engine, and support all your use cases including BI, real-time analytics, and AI/ML. Cut your costs by 50% or more compared to cloud data warehouses and ETL tools with simple usage-based pricing. Deploy in minutes without engineering overhead with a fully managed, highly optimized cloud service. Unify your data in a single source of truth and eliminate the need to copy data across data warehouses and lakes. Use the right table format for the job, with omnidirectional interoperability between Apache Hudi, Apache Iceberg, and Delta Lake. Quickly configure managed pipelines for database CDC and streaming ingestion.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Enterprises searching for a solution to manage, transform, process, and refine their data

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Onehouse
United States
www.onehouse.ai/

Alternatives

Alternatives

CelerData Cloud

CelerData Cloud

CelerData
Yellowbrick

Yellowbrick

Yellowbrick Data
Apache Doris

Apache Doris

The Apache Software Foundation
ZetaAnalytics

ZetaAnalytics

Halliburton

Categories

Categories

Integrations

Amazon S3
Amazon Web Services (AWS)
3forge
Amazon Athena
Apache Hudi
Apache Kafka
BytePlus Translate
Confluent
Google Cloud BigQuery
Hopsworks
IBM watsonx.data
Impetus
Lyftrondata
Moveworks
SAS Federation Server
SMART Business Suite
SQL Server
Udemy
Zoom

Integrations

Amazon S3
Amazon Web Services (AWS)
3forge
Amazon Athena
Apache Hudi
Apache Kafka
BytePlus Translate
Confluent
Google Cloud BigQuery
Hopsworks
IBM watsonx.data
Impetus
Lyftrondata
Moveworks
SAS Federation Server
SMART Business Suite
SQL Server
Udemy
Zoom
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