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Top 8 Data Replication Software SaaS Companies in May 2026

As of May 2026, there are 8 SaaS companies in Data Replication Software. They have combined revenues of $399.2M and employ 2.6K people. They have raised $908.6M and serve 6.3K customers combined.

Data replication software facilitates the process of copying and maintaining data across multiple locations or systems. This practice is essential for ensuring data consistency, availability, and resilience, particularly in environments where access to information is critical. Organizations utilize data replication to manage backup procedures, optimize performance through load balancing, and support disaster recovery strategies. Typical workflows include scheduling replication tasks, monitoring data integrity, and ensuring that changes in the primary site are reflected in replicas without delay. Primary use cases for data replication software include data migration, real-time analytics, and maintaining operational continuity for businesses with high data demands. The software is commonly employed by IT departments, data analysts, cloud service providers, and enterprises relying on robust data infrastructures. By providing automated solutions for data distribution, these tools enable organizations to enhance their operational capabilities, reduce downtime, and improve overall data accessibility and reliability.

Companies
8
Revenue
$399.2M
Funding
$908.6M
Employees
2.6K

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Top Data Replication Software Companies

Showing 10 of 4 companies ranked by annual revenue.

1
Popsink

United States

Popsink is on a mission to make streaming easy and accessible to data teams! With Popsink, it's now possible to capture incremental changes in real-time, run complexe continuous jobs directly on streaming data in just SQL, and share live data in real-time accross a large network of resources. From governance, to integration, to processing, Popsink is your streaming data stack harmonized under one roof with a smooth and familiar experience. No complex training needed, no gargantuan infrastructure to manage. Come discover the power of real-time data operations, stay for the simplicity and cost savings of incremental and live data capture and processing.

Revenue
$880K
Customers
-
Year founded
2021
Funding
-
Team size
8
Growth
-
2
Integration Fox

United States

Integration Fox connects multiple platforms, letting you keep your data up-to-date in a secure and scalable way. Think of it as a mini cloud-based data warehouse that syncs and stores all of your data from various sources, making it easier to access and use.

Revenue
$660K
Customers
-
Year founded
-
Funding
-
Team size
6
Growth
-
3
StarfishETL

Chicago, Illinois, United States

StarfishETL is a full-featured, ever-evolving solution for connecting data in a way that’s scalable, timeless, and completely versatile. The StarfishETL vision is to empower businesses by integrating systems, cleaning and filtering data, migrating databases, and making sense of millions of data points to foster educated business decisions and optimal customer experiences. With over 350 connectors, its framework supports projects — no matter the size or complexity — with its Cloud, on-premises, and hybrid capabilities. StarfishETL’s migration functions are robust, allowing users to transfer enterprise-level loads of data or restrict the migration to smaller data sets at their discretion. We continue to release new functionality and connectors to simplify and speed up integration and migration projects.

Revenue
$220K
Customers
-
Year founded
1991
Funding
-
Team size
2
Growth
-
4
GAMMA SOFT

United States

We are a ISV for real time data connecting from any plateforme to any plateforme.

Revenue
$220K
Customers
-
Year founded
1995
Funding
-
Team size
2
Growth
-

Inclusion Criteria

- The product must facilitate the copying of data between different systems or locations. - It should provide features for real-time or scheduled data updates to maintain consistency. - Capabilities for handling both full and incremental data replication are necessary. - The software must support data integrity checks to ensure accuracy during replication. - It should offer user-friendly interfaces for monitoring replication processes and performance. - Not limited to mere storage; the product must also enable analysis and reporting of replicated data. - Must cater to various environments, including cloud and on-premises systems.