Best Data Replication Software for Oracle Database

NAKIVO Backup & Replication offers complete data protection for virtual, physical, cloud, and SaaS environments including VMware vSphere, Microsoft Hyper-V, Nutanix AHV, Proxmox VE, Amazon EC2, Windows and Linux physical machines and servers, files shares/NAS, Oracle database, and Microsoft 365. You can install the NAKIVO solution on Linux and Windows OS, or deploy it as a pre-configured virtual appliance (VA) or Amazon Machine Image (AMI). You can also install the solution on NAS to create a cost-efficient and fast backup appliance. NAKIVO Backup & Replication includes advanced disaster recovery functionality with Site Recovery and Real-Time Replication for VMware. In addition, you can protect backups from ransomware using built-in cybersecurity features like immutability and pre-recovery malware scans.

Deploy production-ready change data capture pipelines for high-volume, real-time data replication - without a single line of code. Supercharged Change Data Capture. Enjoy automatic schema conversion, end-to-end replication, flexible deployment, and more with Arcion’s distributed Change Data Capture (CDC). Leverage Arcion’s zero data loss architecture for guaranteed end-to-end data consistency, built-in checkpointing, and more without any custom code. Leave scalability and performance concerns behind with a highly-distributed, highly parallel architecture supporting 10x faster data replication. Reduce DevOps overhead with Arcion Cloud, the only fully-managed CDC offering. Enjoy autoscaling, built-in high availability, monitoring console, and more. Simplify & standardize data pipelines architecture, and zero downtime workload migration from on-prem to cloud.

Stream only the data that has changed to the destination. Eliminate data latency and reduce computational overhead. Change data capture (CDC) is a highly efficient method to sync data. Log-based replication is a non-intrusive way to replicate data in real time and does not impact source database performance. Set up the end-to-end solution in minutes, with zero pipeline maintenance. Let your data teams work on higher-value projects. Setting up Artie takes just a few simple steps. Artie will handle backfilling historical data and continuously stream new changes to the final table as they occur. Artie ensures data consistency and high reliability. In the event of an outage, Artie leverages offsets in Kafka to pick up where it left off, which helps maintain high data integrity while avoiding the burden of performing full re-syncs.

Sesame Software specializes in secure, efficient data integration and replication across diverse cloud, hybrid, and on-premise sources. Our patented scalability ensures comprehensive access to critical business data, facilitating a holistic view in the BI tools of your choice. This unified perspective empowers your own robust reporting and analytics, enabling your organization to regain control of your data with confidence. At Sesame Software, we understand what’s at stake when you need to move a massive amount of data between environments quickly—while keeping it protected, maintaining centralized access, and ensuring compliance with regulations. Over the past 23+ years, we’ve helped hundreds of organizations like Proctor & Gamble, Bank of America, and the U.S. government connect, move, store, and protect their data.

TROCCO is a fully managed modern data platform that enables users to integrate, transform, orchestrate, and manage their data from a single interface. It supports a wide range of connectors, including advertising platforms like Google Ads and Facebook Ads, cloud services such as AWS Cost Explorer and Google Analytics 4, various databases like MySQL and PostgreSQL, and data warehouses including Amazon Redshift and Google BigQuery. The platform offers features like Managed ETL, which allows for bulk importing of data sources and centralized ETL configuration management, eliminating the need to manually create ETL configurations individually. Additionally, TROCCO provides a data catalog that automatically retrieves metadata from data analysis infrastructure, generating a comprehensive catalog to promote data utilization. Users can also define workflows to create a series of tasks, setting the order and combination to streamline data processing.