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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Quickly establish your own Data Warehouse (DWH) to lay the groundwork for new reporting capabilities or seamlessly incorporate emerging data sources with agility, allowing for rapid results. The Datavault Builder serves as a fourth-generation automation tool for Data Warehousing, addressing every aspect and phase of DWH development. By employing a well-established industry-standard methodology, you can initiate your agile Data Warehouse right away and generate business value in the initial sprint. Whether dealing with mergers and acquisitions, related companies, sales performance, or supply chain management, effective data integration remains crucial in these scenarios and beyond. The Datavault Builder adeptly accommodates various contexts, providing not merely a tool but a streamlined and standardized workflow. It enables the retrieval and transfer of data between multiple systems in real-time. Moreover, it allows for the integration of diverse sources, offering a comprehensive view of your organization. As you continually transition data to new targets, the tool ensures both data availability and quality are maintained throughout the process, enhancing your overall operational efficiency. This capability is vital for organizations looking to stay competitive in an ever-evolving market.

Description

iceDQ, a DataOps platform that allows monitoring and testing, is a DataOps platform. iceDQ is an agile rules engine that automates ETL Testing, Data Migration Testing and Big Data Testing. It increases productivity and reduces project timelines for testing data warehouses and ETL projects. Identify data problems in your Data Warehouse, Big Data, and Data Migration Projects. The iceDQ platform can transform your ETL or Data Warehouse Testing landscape. It automates it from end to end, allowing the user to focus on analyzing the issues and fixing them. The first edition of iceDQ was designed to validate and test any volume of data with our in-memory engine. It can perform complex validation using SQL and Groovy. It is optimized for Data Warehouse Testing. It scales based upon the number of cores on a server and is 5X faster that the standard edition.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Cloudera
Jenkins

Integrations

Cloudera
Jenkins

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$1000
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

Datavault Builder

Founded

2010

Country

Switzerland

Website

datavault-builder.com

Vendor Details

Company Name

Torana

Founded

2008

Country

United States

Website

icedq.com

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

Automated Testing

Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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