--- title: Tungsten Replicator for PostgreSQL Targets Reviews meta\_title: 'Tungsten Replicator for PostgreSQL Targets Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter reviews by the users' company size, role or industry to find out how Tungsten Replicator for PostgreSQL Targets works for a business like yours. date\_modified: '2026-04-02' parent\_category: name: Backup url: https://www.g2.com/categories/backup --- # Tungsten Replicator for PostgreSQL Targets Reviews & Product Details Tungsten Replicator for PostgreSQL Targets is a high-performance replication engine designed to facilitate real-time data replication from MySQL, MariaDB, and Percona Server databases into PostgreSQL environments. This solution enables organizations to seamlessly integrate their existing MySQL-based systems with PostgreSQL, ensuring data consistency and availability across heterogeneous database platforms. By leveraging Tungsten Replicator, businesses can enhance their data analytics capabilities, support disaster recovery strategies, and maintain high availability of critical data. Key Features and Functionality: - Real-Time, Heterogeneous Replication: Enables continuous data replication from MySQL, MariaDB, and Percona Server databases to PostgreSQL targets, including Amazon RDS PostgreSQL. - Advanced Topology Support: Supports complex replication topologies such as star and fan-in configurations, providing flexibility in data distribution and aggregation. - Global Transaction IDs: Utilizes unique global transaction identifiers to ensure data integrity and facilitate efficient replication management. - Advanced Filtering: Offers granular control over replicated data with filtering capabilities down to the row and column level, allowing for selective data replication. - Parallel Replication: Enhances replication performance by applying transactions in parallel, reducing latency and increasing throughput. - SSL Support: Ensures secure data transmission between source and target databases through SSL encryption. Primary Value and Problem Solved: Tungsten Replicator for PostgreSQL Targets addresses the challenge of integrating MySQL-based systems with PostgreSQL databases by providing a robust and efficient replication solution. It enables organizations to: - Enhance Data Analytics: By replicating operational data into PostgreSQL, businesses can leverage advanced analytical tools and derive actionable insights from their data. - Ensure High Availability: Maintains data consistency and availability across different database platforms, supporting disaster recovery and business continuity plans. - Simplify Data Integration: Facilitates seamless data movement between heterogeneous databases, reducing the complexity and cost associated with traditional ETL processes. By implementing Tungsten Replicator, organizations can achieve real-time data replication, improve system resilience, and gain a competitive edge through enhanced data utilization. * * * Seller [Continuent Ltd](https://www.g2.com/sellers/continuent-ltd-0c5e8641-cc5c-4f01-8a60-279728049e84) Discussions [Tungsten Replicator for PostgreSQL Targets Community](https://www.g2.com/products/tungsten-replicator-for-postgresql-targets/discuss) Show More ## Top-Rated Alternatives [ ![Fivetran](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Fivetran") Fivetran 4.3/5(829) ](https://www.g2.com/products/fivetran/reviews) [ ![Workato](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Workato") Workato 4.7/5(777) ](https://www.g2.com/products/workato/reviews) [ ![Veeam Data Platform](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Veeam Data Platform") Veeam Data Platform 4.6/5(750) ](https://www.g2.com/products/veeam-data-platform/reviews) [ View All Alternatives ](https://www.g2.com/products/tungsten-replicator-for-postgresql-targets/competitors/alternatives) ## Tungsten Replicator for PostgreSQL Targets hasn't been reviewed yet Used Tungsten Replicator for PostgreSQL Targets? 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