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What is dataFactory?

Remove all manual processes, potential sources of error, and inefficiencies to streamline operations. Eliminate the necessity to frequently reconfigure your data warehouse with each change in business needs. Introduce automated quality checks both among and within data sources and ensure prompt responses to any arising issues, as this is crucial for many data users. It is vital to have complete confidence in your data today. Establish a "gold record" reference point that guarantees business teams can always access the latest information available. Create a single, unified version of the truth that is accessible anytime and from anywhere. Develop an intermediate model that organizes, stores, and maintains your data independently of its intended use. Be quick to adapt to changing data sources and business questions. Integrate all data sources—from data lakes and operational systems to spreadsheets and legacy applications—just as you did with the initial one. Ensure that data is stored, preserved, and improved in quality to facilitate the automation of data warehouse processes. Organize, enrich, and meticulously document your data so that it is readily available in well-structured datasets, often referred to as information marts. By doing this, you lay the foundation for more effective decision-making throughout the organization, ultimately fostering a culture of data-driven insights and innovation.

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

Google Sheets
Microsoft Excel
Microsoft Power BI
Tableau
Qlik Data Integration

Integrations Supported

Google Sheets
Microsoft Excel
Microsoft Power BI
Tableau
AT Internet
Airship
Apache Cassandra
Google Ads
Instagram
Marin Software
Meltwater
Microsoft Power Query
Mixpanel
Optimizely One
Pentaho
SAP Analytics Cloud
Snowflake
Splunk Enterprise
Typeform

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

dFakto

Date Founded

2000

Company Location

Belgium

Company Website

www.dfakto.com/datafaktory-data-warehouse-automation/

Company Facts

Organization Name

Data Virtuality

Date Founded

2012

Company Location

Germany

Company Website

datavirtuality.com

Categories and Features

Data Management

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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