Compare the Top Data Mapping Software for Windows as of October 2026

What is Data Mapping Software for Windows?

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

  • 1
    CloverDX

    CloverDX

    CloverDX

    CloverDX is the data integration platform that puts you in control. Build data pipelines visually in CloverDX Designer, in code, or with AI, and move freely between all three. Run ETL, data transformation and data migration jobs on autopilot, with schedules, file and message listeners and API triggers, or on demand through published endpoints and Data Apps for non-engineers. Typed metadata finds schema drift before production does, and a full execution history makes every run auditable. Teams use CloverDX for client data onboarding, legacy system replacement, data quality validation, and automation of manual data work at scale. Customers grow data volume and client count without growing the team. Deploy on premises, in your own cloud, hybrid, or in containers and Kubernetes. Your data never crosses our infrastructure. Pay a flat annual price for capacity, not for rows, runs or connectors.
    Starting Price: $21000/annual
  • 2
    MANTA

    MANTA

    Manta

    Manta is the world-class automated approach to visualize, optimize, and modernize how data moves through your organization through code-level lineage. By automatically scanning your data environment with the power of 50+ out-of-the-box scanners, Manta builds a powerful map of all data pipelines to drive efficiency and productivity. Visit manta.io to learn more. With Manta platform, you can make your data a truly enterprise-wide asset, bridge the understanding gap, enable self-service, and easily: • Increase productivity • Accelerate development • Shorten time-to-market • Reduce costs and manual effort • Run instant and accurate root cause and impact analyses • Scope and perform effective cloud migrations • Improve data governance and regulatory compliance (GDPR, CCPA, HIPAA, and more) • Increase data quality • Enhance data privacy and data security
  • Previous
  • You're on page 1
  • Next