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Top 29 Data Mapping Software SaaS Companies in May 2026

As of May 2026, there are 29 SaaS companies in Data Mapping Software. They have combined revenues of $607M and employ 4.5K people. They have raised $832.8M and serve 500M customers combined.

Data Mapping Software is a category of tools designed to facilitate the organization and integration of data from various sources. These solutions work by enabling users to link fields from one data source to corresponding fields in another, creating a coherent structure for data management. The primary use cases include data migration, system integration, and data quality improvement, making them essential in scenarios where multiple databases or systems need to communicate effectively. Typical features of data mapping software include visual interfaces for designing mappings, automated data transformation, data validation, and support for various data formats and protocols. Users often include data analysts, IT professionals, and data engineers who require efficient methods to manage large sets of data and ensure accuracy across platforms. These tools play a critical role in ensuring that data flows seamlessly between systems, fostering better analytics and decision-making processes.

Companies
29
Revenue
$607M
Funding
$832.8M
Employees
4.5K

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Sorting: Highest -> Lowest

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Top Data Mapping Software Companies

Showing 10 of 1 companies ranked by annual revenue.

1
Fivetran

Oakland, California, United States

data integration platform

Revenue
$300M
Customers
6.3K
Year founded
2012
Funding
$727.4M
Team size
1.7K
Growth
-

Inclusion Criteria

- The software must facilitate the mapping of data fields between different data sources - It should support automated data transformation and validation processes - The product must provide a user-friendly interface for visually designing data mappings - It should be applicable in use cases such as data migration and system integration - The solution must handle multiple data formats and protocols - Not just a file conversion tool; must also enable ongoing data synchronization and communication between systems