Compare the Top Data Mapping Software for Mac as of October 2025

What is Data Mapping Software for Mac?

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 for Mac currently available using the table below. This list is updated regularly.

  • 1
    CloverDX

    CloverDX

    CloverDX

    Design, debug, run and troubleshoot data transformations and jobflows in a developer-friendly visual designer. Orchestrate data workloads that require tasks to be carried out in the right sequence, orchestrate multiple systems with the transparency of visual workflows. Deploy data workloads easily into a robust enterprise runtime environment. In cloud or on-premise. Make data available to people, applications and storage under a single unified platform. Manage your data workloads and related processes together in a single platform. No task is too complex. We’ve built CloverDX on years of experience with large enterprise projects. Developer-friendly open architecture and flexibility lets you package and hide the complexity for non-technical users. Manage the entire lifecycle of a data pipeline from design, deployment to evolution and testing. Get things done fast with the help of our in-house customer success teams.
    Starting Price: $5000.00/one-time
  • 2
    K3

    K3

    BroadPeak Partners

    K3 is a smart data integration software solution developed by BroadPeak, a New York-based software company. As a disruptive data plumbing solution, K3 enables businesses to transform, filter, and unify data, and send it anywhere. K3 provides users with a comprehensive library of off-the-shelf adapters to connect applications, from cloud-based to on-premise legacy data systems. Key features of K3 include an intuitive mapping UI to make data flow; a When, Then, Else rules engine to enrich fields; filtering to keep data clean, and validation logic with alerts.
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