dashDB LocalIBM
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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
As the newest edition to the IBM dashDB family, dashDB Local rounds out IBM's hybrid data warehouse strategy, providing organizations the most flexible architecture needed to lower the cost model of analytics in the dynamic world of big data and the cloud. How is this possible? Through a common analytics engine, with different deployment options across private and public clouds, analytics workloads can be moved and optimized with ease. dashDB Local is now an option when you prefer deployment on a hosted private cloud or on-premises private cloud through a software-defined infrastructure. From an IT standpoint, dashDB Local simplifies deployment and management through container technology, with elastic scaling and easy maintenance. From a user standpoint, dashDB Local provides the speed needed to quickly cycle through the process of data acquisition, applies the right analytics to meet a specific use case, and operationalizes the insights.
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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
Organizations seeking a hybrid data warehousing solution to simplify deployment and management through container technology
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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
No information available.
Free Version
Not 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 InformationIBM
Founded: 1911
United States
www-01.ibm.com/common/ssi/cgi-bin/ssialias
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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
Not Supported
Data Integration
Not Supported
Data Migration
Not Supported
Data Quality Control
Supported
ETL - Extract / Transfer / Load
Supported
In-Memory Processing
Not Supported
Match & Merge
Not Supported
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Integrations
IBM Cloud
Supported
Advanced Query Tool (AQT)
Supported
Captain Compliance
Supported
Cisco AnyConnect
Not Supported
Coginiti
Supported
DBHawk
Supported
Datametica
Supported
IBM Cloud Pak for Data
Supported
IBM watsonx.data
Supported
Impetus
Supported
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Integrations
IBM Cloud
Supported
Advanced Query Tool (AQT)
Not Supported
Captain Compliance
Not Supported
Cisco AnyConnect
Supported
Coginiti
Not Supported
DBHawk
Not Supported
Datametica
Not Supported
IBM Cloud Pak for Data
Not Supported
IBM watsonx.data
Not Supported
Impetus
Not Supported
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