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What is IBM Db2 Warehouse?

IBM® Db2® Warehouse offers a preconfigured, client-managed data warehouse solution that operates seamlessly in private clouds, virtual private clouds, and various containerized settings. Designed to be an ideal hybrid cloud solution, it empowers users to maintain control over their data while enjoying the advantages of cloud flexibility. The platform incorporates integrated machine learning, automatic scaling, built-in analytics, and supports both SMP and MPP processing capabilities, allowing organizations to implement AI solutions more rapidly and easily. You can establish a pre-configured data warehouse within minutes on your preferred supported infrastructure, with elastic scaling that supports smooth updates and upgrades. By utilizing in-database analytics right where the data resides, companies can enhance their AI capabilities, resulting in faster and more efficient operations. Additionally, the ability to create your application once means you can shift workloads to the most appropriate environment—whether that's a public cloud, private cloud, or on-premises—while making minimal or no changes. This adaptability is crucial for businesses aiming to optimize their data strategies across a variety of deployment choices, ensuring they remain competitive in an ever-evolving market landscape. Furthermore, the user-friendly setup process and robust features make it an appealing option for organizations looking to harness the power of their data effectively.

What is Data Virtuality?

Unify and streamline your data operations. Transform your data ecosystem into a dynamic force. Data Virtuality serves as an integration platform that ensures immediate access to data, centralizes information, and enforces data governance. The Logical Data Warehouse merges both materialization and virtualization techniques to deliver optimal performance. To achieve high-quality data, effective governance, and swift market readiness, establish a single source of truth by layering virtual components over your current data setup, whether it's hosted on-premises or in the cloud. Data Virtuality provides three distinct modules: Pipes Professional, Pipes Professional, and Logical Data Warehouse, which collectively can reduce development time by as much as 80%. With the ability to access any data in mere seconds and automate workflows through SQL, the platform enhances efficiency. Additionally, Rapid BI Prototyping accelerates your time to market significantly. Consistent, accurate, and complete data relies heavily on maintaining high data quality, while utilizing metadata repositories can enhance your master data management practices. This comprehensive approach ensures your organization remains agile and responsive in a fast-paced data environment.

Media

Media

Integrations Supported

Integrations Supported

Acquisio
Amazon Redshift
Google Cloud BigQuery
JW Player
Jira
LiveChat
Looker
Matomo
Mode
Pentaho
Qlik Cloud Analytics
Rapidminer Panopticon
Salesforce Agentforce Service
Searchmetrics Suite
Splunk Enterprise
Spotfire
SurveyMonkey
TimeCamp
Ubermetrics Delta
Vertica

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/db2-warehouse

Company Facts

Organization Name

Data Virtuality

Date Founded

2012

Company Location

Germany

Company Website

datavirtuality.com

Categories and Features

Data Warehouse

Not specified

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Data Integration

Not specified

Data Pipeline

Not specified

Data Virtualization

Not specified

Data Warehouse

Not specified

ETL

Not specified

Integration

Not specified

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