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What is Talend Data Integration?

Talend Data Integration enables you to seamlessly connect and manage all your data, no matter its location. With over 1,000 connectors and components, you can link virtually any data source to any data environment. The user-friendly drag-and-drop interface simplifies the creation and deployment of reusable data pipelines, making the process ten times faster than traditional hand-coding methods. As a pioneer in scaling extensive datasets for advanced data analytics and Spark platforms, Talend collaborates with leading cloud service providers, data warehouses, and analytics platforms, including Amazon Web Services, Microsoft Azure, Google Cloud Platform, Snowflake, and Databricks. Talend prioritizes data quality throughout each phase of the integration process, allowing you to identify, highlight, and rectify inconsistencies before they can disrupt critical decision-making. By connecting to your data wherever it resides, you have the flexibility to utilize it in your preferred environment, ensuring that you can make informed decisions based on accurate information. This level of integration empowers organizations to harness their data's full potential, driving better outcomes and insights.

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.

Media

Media

Integrations Supported

Activeeon ProActive
Amazon Web Services (AWS)
Cloudera
Databricks Data Intelligence Platform
FairCom DB
FairCom EDGE
Google Cloud Platform
Mazaal AI
Microsoft Azure
Minitab Statistical Software
Pantomath
R Systems
Snowflake
ThinkData Works
XML

Integrations Supported

Activeeon ProActive
Amazon Web Services (AWS)
Cloudera
Databricks Data Intelligence Platform
FairCom DB
FairCom EDGE
Google Cloud Platform
Mazaal AI
Microsoft Azure
Minitab Statistical Software
Pantomath
R Systems
Snowflake
ThinkData Works
XML

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$149 one-time payment
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

Qlik

Date Founded

1993

Company Location

United States

Company Website

www.talend.com/products/data-integration/

Company Facts

Organization Name

Liquid Technologies

Company Website

www.liquid-technologies.com/data-mapper

Categories and Features

Data Management

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

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Categories and Features

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