Popular Data Mapping Tools

Written By Samantha Rivera
 
 
 

Data mapping tools help developers define mapping rules through coding. Most data mapping tools provide graphical interfaces used for determining mapping rules. In turn, that makes it easier for non-technical users to define mapping rules.  

 We’ve put together a short list of a few popular data mapping tools to consider if you’re working on your extracting, transforming, and loading (ETL) processes.  
 

Talend  

Talend provides enterprise-level data integration software that helps connect, access and transform any data. It performs data integration across the cloud or on-premises. It’s best for a data integration tool.  
 

Features:  

  • Provides more than 900 pre-built components  

  • Seamless integration with any environment  

  • Scalable as per your data 

 

Xplenty  

Xplenty is cloud-based data integration, ETL, and ELT platform. The platform will help create a simple pipeline to the data warehouse. Xplenty will enable you to integrate data from various data resources and SaaS applications too. It can integrate data with resources like SQL data stores, NoSQL databases, and cloud storage services. It’s best for data integration, ETL, and ELT.  
 

Features:  

  • Integrate all marketing sources (social media, CRM, analytics, etc.)  

  • Intuitive graphic interface assists with implementation of ETL, ELT, or replication solutions  

  • Orchestrate and schedule data pipelines through Xplenty’s workflow engine  

  • Provides connectors for data warehouses, applications, files, and databases  

 

ZigiWave 

A scalable no-code integration platform, ZigiWave enables data transfer between systems in real-time. ZigiWave automates processes and enhances cross-collaboration. The software program seamlessly runs in your environment while also extracting and transferring data between systems in real-time. It’s best for systems integration and data synchronization.  

 Features:  

  • Protection from losing valuable data in the event of system downtime  

  • Enables everyone to integrate from anywhere  

  • Highly flexible and customizable integrations  

  • Adapts to use case  

  • Deep integrations  

  • Handles high volume of queries  

  • On-premises solution  

  • Security  
     

CloverDX  

Clover DX is an open architecture platform. It allows coding for data jobs when required. It provides a rich set of pre-existing transformation components too. It’s best for usability, flexibility, intuitive control, and processing speeds.  

 Features:  

  • Suitable for simple and complex tasks  

  • Design reusable data transformations 

  • Can connect with external systems through APIs, file watchers, message queues, and event triggers  

  • You can schedule, manage and monitor complex workflows  

  • Multiple jobs can be managed  

Pentaho  

Pentaho provides a single platform to oversee the analytical data pipeline. It provides a scalable multi-threaded data integration engine and allows users to create reusable data integration templates. It’s best for drag and drops functionality.  

Features:  

  • Switch seamlessly between other platforms  

  • Provides robust support to Hadoop distributions, Spark, NoSQL, etc.  

  • Performance monitoring  

  • Job rollback and restart  

     

There are plenty of data mapping tools out there, which can cause anyone to feel overwhelmed with the selection process. Do you need a little help figuring out what features to focus on? We can provide guidance with a data mapping process strategy and any other questions you might have about the data mapping process. Feel free to reach out with any inquiries. 

Samantha Rivera
Previous

Data Mapping Best Practices
Next

Low-Code to Level-Up CX