Best Data Mapping Software

Compare the Top Data Mapping Software as of June 2025

What is Data Mapping Software?

Data mapping software enables users to accurately map data points so that source fields and destination fields are mapped correctly. Data mapping tools are useful for data migrations, data integrations, or data transformations. Compare and read user reviews of the best Data Mapping software currently available using the table below. This list is updated regularly.

  • 1
    Nomic Atlas

    Nomic Atlas

    Nomic AI

    Atlas integrates into your workflow by organizing text and embedding datasets into interactive maps for exploration in a web browser. You shouldn’t have to scroll through Excel files, log Dataframes and page through lists to understand your data. Atlas automatically reads, organizes and summarizes your collections of documents surfacing trends and patterns. Atlas’ pre-organized data interface allows you to quickly surface pathologies and dirty data that can jeopardize your AI projects. Label and tag your data while you clean it with immediate sync to your Jupyter Notebook. Vector databases enable powerful applications such as recommendation systems but are notoriously hard to interpret. Atlas stores, visualizes and lets you search through all of your vectors in the same API.
    Starting Price: $50 per month
  • 2
    Lume

    Lume

    Lume

    Integrate AI-powered data mapping into your systems. Never spend time wrangling data again. Lume platform gives you visibility and management over all of your data pipelines and mappings. Review, edit, and deploy data mappers in seconds, and use them indefinitely. Onboard more customers and partners faster by ingesting their unique data in seconds. Normalize messy data that is different between all the legacy data systems you are ingesting. Build hundreds of data pipelines immediately, reading from and writing to any source and any destination models. Detect changes to your source data or target models, and automatically re-transform the data to adapt to the new models. Handle complex data mappings with ease by enabling your teams to transform data leveraging AI.
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