Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Fully compatible with Netezza, this solution offers a streamlined command-line upgrade option. It can be deployed on-premises, in the cloud, or through a hybrid model. The IBM® Netezza® Performance Server for IBM Cloud Pak® for Data serves as a sophisticated platform for data warehousing and analytics, catering to both on-premises and cloud environments. With significant improvements in in-database analytics functions, this next-generation Netezza empowers users to engage in data science and machine learning with datasets that can reach petabyte levels. It includes features for detecting failures and ensuring rapid recovery, making it robust for enterprise use. Users can upgrade existing systems using a single command-line interface. The platform allows for querying multiple systems as a cohesive unit. You can select the nearest data center or availability zone, specify the desired compute units and storage capacity, and initiate the setup seamlessly. Furthermore, the IBM® Netezza® Performance Server is accessible on IBM Cloud®, Amazon Web Services (AWS), and Microsoft Azure, and it can also be implemented on a private cloud, all powered by the capabilities of IBM Cloud Pak for Data System. This flexibility enables organizations to tailor the deployment to their specific needs and infrastructure.
Description
beVault serves as an all-encompassing platform for automating data management, specifically tailored to tackle the complexities associated with changing business demands and data frameworks. The platform significantly accelerates the creation and implementation of new business scenarios, enhancing data warehouse automation by as much as fivefold, which in turn shortens time-to-market while preserving organizational agility. It promotes effective collaboration between IT and business stakeholders through its user-friendly, business-focused interface, enabling teams to collaboratively construct data models without encountering technical hurdles. As a comprehensive low-code solution, beVault reduces reliance on costly resources and eliminates the need for multiple licenses, streamlining data management tools to cut down on both implementation and operational expenses. Noteworthy attributes of the platform include a scalable, business-oriented model that evolves with data requirements, an integrated data quality framework to uphold high standards, and a versatile architecture that supports on-premises, cloud, or hybrid deployment options. Additionally, beVault is designed to adapt to future technological advancements, ensuring that organizations remain competitive and responsive to new challenges.
API Access
Has API
API Access
Has API
Integrations
Advanced Query Tool (AQT)
Captain Compliance
Coginiti
DBHawk
Datametica
DbVisualizer
Digna
IBM Cloud Pak for Data
IBM watsonx.data
Immuta
Integrations
Advanced Query Tool (AQT)
Captain Compliance
Coginiti
DBHawk
Datametica
DbVisualizer
Digna
IBM Cloud Pak for Data
IBM watsonx.data
Immuta
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/netezza
Vendor Details
Company Name
beVault
Country
United States
Website
www.bevault.io
Product Features
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge