Best Data Mapping Software

Compare the Top Data Mapping Software as of October 2026

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
    Faddom

    Faddom

    Faddom

    Faddom offers real-time, agentless application dependency mapping to give IT teams instant, risk-free visibility into hybrid environments. No credentials, no software installs, and no firewall changes. Faddom maps servers, applications, cloud resources, and traffic flows within an hour of deployment. This always-live mapping supports security audits, change impact analysis, cloud migration, IT documentation, and incident response. Faddom provides continuous infrastructure clarity without disruption, enabling better planning, control, and compliance. Trusted by organizations across industries, Faddom is built for speed, security, and simplicity. Deploy fast. Discover more. Stay in control.
    Starting Price: $0
  • 2
    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
  • 3
    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
  • 4
    Securiti
    Securiti is the pioneer of the Data Command Center, a centralized platform that enables the safe use of data and GenAI. It provides unified data intelligence, controls and orchestration across hybrid multicloud environments. Large global enterprises rely on Securiti's Data Command Center for data security, privacy, governance, and compliance. Securiti has been recognized with numerous industry and analyst awards, including "Most Innovative Startup" by RSA, "Top 25 Machine Learning Startups" by Forbes, "Most Innovative AI Companies" by CB Insights, "Cool Vendor in Data Security" by Gartner, and "Privacy Management Wave Leader" by Forrester. For more information, please follow us on LinkedIn and visit Securiti.ai.
  • 5
    Oracle Self-Service Integration
    Oracle Self-Service Integration automates tasks between cloud applications. Improve your productivity and your collaborations by automating manual tasks without reliance on IT. Integrate Oracle apps with other popular cloud applications, or integrate between your other favorite cloud applications. Oracle Self-Service Integration automates tasks between cloud applications. Improve your productivity and your collaborations by automating manual tasks without reliance on IT. Integrate Oracle apps with other popular cloud applications, or integrate between your other favorite cloud applications. Use the SSI dashboard to access all of the product features. See all of your recipes, including active, inactive, and incomplete in My Recipes. Select any recipe to open it in the Recipe Editor, where you can edit and manage your recipes. Browse the Cloud Apps collection and find your favorite application. You can narrow your search by specifying one or more cloud applications.
  • 6
    WSO2 Enterprise Service Bus
    The WSO2 integration runtime engine is capable of playing multiple roles in your enterprise architecture. It can act as an ESB or a microservices integrator. When deployed as an ESB, it caters to your message routing, transformation, message mediation, service orchestration, as well as service and API hosting needs. Header-based, content-based, rule-based, and priority-based routing. Implement Enterprise Integration Patterns (EIPs), database integration, event stream integrations. Transform messages with XSLT 1.0/2.0, XPath, XQuery, and Smooks. Visual data mapping, CSV, JSON, and XML transformation connectors. Supports any RDBMS, CSV, Excel, ODS, Cassandra, and Google spreadsheets. Supports OData v4 protocol for any RDBMS and Cassandra data sources. Supports MSSQL, DB2, Oracle, OpenEdge, TerraData, MySQL, PostgreSQL/EnterpriseDB, H2, Derby or any database with a JDBC driver. Support for nested queries across data sources.
  • 7
    Ab Initio

    Ab Initio

    Ab Initio

    Data arrives from every direction, growing in scale and complexity. Hidden in the data is knowledge and insight that is full of potential. Such potential is only fully realized when it permeates through to every decision and action the organization takes, second by second. As the business changes, so does the data itself, resulting in new knowledge and insight. A cycle is formed, learn and adapt. Industries as far ranging as financial services, healthcare, telecommunications, manufacturing, transportation, and entertainment have recognized the opportunity. Getting there is both challenging and exciting. Success demands new levels of speed and agility in understanding, managing, and processing vast amounts of continuously changing data. Complex organizations require a high performance data platform that is built for automation and self-service, that thrives amid change and adapts to new realities, and that can solve the toughest data processing and data management challenges.
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