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What is Liquid Data Mapper?

Liquid Data Mapper is a flexible and powerful tool tailored for data transformation and mapping, enabling users to establish a variety of mapping configurations, including those that integrate multiple data sources. It offers a visual interface that clearly depicts the mapping journey between different data inputs and outputs. Users have the option to perform transformations directly within Liquid Studio or to generate code that can be seamlessly integrated into their applications. The built-in debugger enhances the user experience by allowing for meticulous step-by-step analysis, complete with features such as breakpoints, stack traces, and variable watch windows, making troubleshooting significantly easier. Moreover, Liquid Studio Data Mapper includes an intuitive graphical interface for designing data transformations, which empowers users to link numerous data inputs to various outputs while applying conditional logic, filtering, string manipulation, and statistical functions, among other features. This range of functionalities not only streamlines the data mapping process but also positions Liquid Data Mapper as an essential tool for efficiently navigating and managing intricate data workflows. Ultimately, its adaptability ensures that users can effectively tackle an array of data challenges with ease.

What is Ab Initio?

Data is increasingly sourced from a variety of channels, leading to a surge in both its quantity and complexity. Hidden within this vast pool of information lies a wealth of knowledge and insights, rich with untapped possibilities. However, to unlock this potential, it is essential that data informs every decision and action undertaken by the organization continuously. As businesses progress, so too does the data, giving rise to fresh insights and understanding, which fosters an ongoing cycle of learning and evolution. Industries such as financial services, healthcare, telecommunications, manufacturing, transportation, and entertainment are capitalizing on this opportunity to innovate. The path to achieving success can be both challenging and thrilling. Realizing this success necessitates exceptional speed and agility in interpreting, managing, and processing the ever-increasing volumes of dynamic data. To address these challenges, organizations must implement a comprehensive data platform that supports automation and self-service, one that thrives under constant change and adapts to new challenges while addressing complex data processing and management needs. This innovative strategy not only boosts operational efficiency but also equips organizations to sustain their competitive edge in an environment that is continuously evolving. Ultimately, the ability to effectively leverage data can determine an organization's trajectory in today's fast-paced market.

Media

Media

Integrations Supported

DataHawk
Impetus
Mazaal AI
XML

Integrations Supported

DataHawk
Impetus
Mazaal AI
XML

API Availability

Has API

API Availability

Has API

Pricing Information

$149 one-time payment
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

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
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Liquid Technologies

Company Website

www.liquid-technologies.com/data-mapper

Company Facts

Organization Name

Ab Initio

Date Founded

1995

Company Location

United States

Company Website

www.abinitio.com/en/

Categories and Features

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Quality

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

ETL

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

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