About

The Query Federation Drivers provide a universal data access layer that simplifies application development and data access. The drivers make it easy to query data across systems with SQL through a common driver interface. The Query Federation Drivers enable users to embed Logical Data Warehousing capabilities into any application or process. A Logical Data Warehouse is an architectural layer that enables access to multiple data sources on-demand, without relocating or transforming data in advance. Essentially the Query Federation Drivers give users simple, SQL-based access to all of your databases, data warehouses, and cloud applications through a single interface. Developers can pick multiple data processing systems and access all of them with a single SQL-based interface.

About

Connect and centralize data. Transform your existing data landscape into a flexible data powerhouse. Data Virtuality is a data integration platform for instant data access, easy data centralization and data governance. Our Logical Data Warehouse solution combines data virtualization and materialization for the highest possible performance. Build your single source of data truth with a virtual layer on top of your existing data environment for high data quality, data governance, and fast time-to-market. Hosted in the cloud or on-premises. Data Virtuality has 3 modules: Pipes, Pipes Professional, and Logical Data Warehouse. Cut down your development time by up to 80%. Access any data in minutes and automate data workflows using SQL. Use Rapid BI Prototyping for significantly faster time-to-market. Ensure data quality for accurate, complete, and consistent data. Use metadata repositories to improve master data management.

About

Traditional methods of integrating mainframe data, ETL, data warehouses, building connectors, are simply not fast, accurate, or efficient enough for business today. More data than ever before is being created and stored on the mainframe, leaving these old methods further behind. Only data virtualization can close the ever-widening gap to automate the process of making mainframe data broadly accessible to developers and applications. You can curate (discover and map) your data once, then virtualize it for use anywhere, again and again. Finally, your data scales to your business ambitions. Data virtualization on z/OS eliminates the complexity of working with mainframe resources. Using data virtualization, you can knit data from multiple, disconnected sources into a single logical data source, making it much easier to connect mainframe data with your distributed applications. Combine mainframe data with location, social media, and other distributed data.

About

Simple, fast, safe, and compiled. For developing maintainable software. Simple language for building maintainable programs. You can learn the entire language by going through the documentation over a weekend, and in most cases, there's only one way to do something. This results in simple, readable, and maintainable code. This results in simple, readable, and maintainable code. Despite being simple, V gives a lot of power to the developer and can be used in pretty much every field, including systems programming, webdev, gamedev, GUI, mobile, science, embedded, tooling, etc. V is very similar to Go. If you know Go, you already know 80% of V. Bounds checking, No undefined values, no variable shadowing, immutable variables by default, immutable structs by default, option/result and mandatory error checks, sum types, generics, and immutable function args by default, mutable args have to be marked on call.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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 of all sizes looking for an embedded Data Virtualization platform

Audience

Organizations in need of a Data Virtualization solution for flexible data architectures

Audience

Businesses looking for a tool to empower and optimize sales through enhanced customer insights

Audience

Developers interested in a language for building maintainable programs

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
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

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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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

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

CData Software
Founded: 2014
United States
www.cdata.com/queryfederation/

Company Information

Data Virtuality
Founded: 2012
Germany
datavirtuality.com

Company Information

Rocket
Founded: 1990
United States
www.rocketsoftware.com/product-categories/data-virtualization

Company Information

V Programming Language
United States
vlang.io

Alternatives

Alternatives

Alternatives

Alternatives

Querona

Querona

YouNeedIT
Delphix

Delphix

Perforce
Swift

Swift

Apple
Hyper-Q

Hyper-Q

Datometry
Enterprise Enabler

Enterprise Enabler

Stone Bond Technologies
Zig

Zig

Zig Software Foundation

Categories

Categories

Categories

Categories

Data Management Features

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Extraction Features

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

Integrations

Amazon Web Services (AWS)
C
Emarsys
Exasol
Google Sheets
IBM Cognos Analytics
Kissmetrics
Mailchimp Transactional Email (Mandrill)
MongoDB
MySQL
Pinterest
Quantrix Modeler
Salesforce Marketing Cloud Account Engagement
Salesforce Service Cloud
Shopify
SolarWinds Pingdom
Uptrends
VWO Insights
X (Twitter)

Integrations

Amazon Web Services (AWS)
C
Emarsys
Exasol
Google Sheets
IBM Cognos Analytics
Kissmetrics
Mailchimp Transactional Email (Mandrill)
MongoDB
MySQL
Pinterest
Quantrix Modeler
Salesforce Marketing Cloud Account Engagement
Salesforce Service Cloud
Shopify
SolarWinds Pingdom
Uptrends
VWO Insights
X (Twitter)

Integrations

Amazon Web Services (AWS)
C
Emarsys
Exasol
Google Sheets
IBM Cognos Analytics
Kissmetrics
Mailchimp Transactional Email (Mandrill)
MongoDB
MySQL
Pinterest
Quantrix Modeler
Salesforce Marketing Cloud Account Engagement
Salesforce Service Cloud
Shopify
SolarWinds Pingdom
Uptrends
VWO Insights
X (Twitter)

Integrations

Amazon Web Services (AWS)
C
Emarsys
Exasol
Google Sheets
IBM Cognos Analytics
Kissmetrics
Mailchimp Transactional Email (Mandrill)
MongoDB
MySQL
Pinterest
Quantrix Modeler
Salesforce Marketing Cloud Account Engagement
Salesforce Service Cloud
Shopify
SolarWinds Pingdom
Uptrends
VWO Insights
X (Twitter)
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