PeerGFS
A Comprehensive Solution for Streamlined File Orchestration and Management across Edge, Data Center, and Cloud Storage
PeerGFS presents an exclusively software-based solution designed to address file management and replication challenges within multi-site and hybrid multi-cloud environments.
With our extensive expertise spanning over 25 years, we specialize in file replication for geographically dispersed organizations. Here's how PeerGFS can benefit your operations:
Enhanced Availability: Achieve high availability through Active-Active data centers, whether located on-premises or in the cloud.
Edge Data Protection: Safeguard your valuable data at the Edge with continuous protection to the central Data Center.
Improved Productivity: Empower distributed project teams by providing swift, local access to critical file information.
In today's world, having a real-time data infrastructure is paramount.
PeerGFS seamlessly integrates with your existing storage systems, supporting:
High-volume data replication between interconnected data centers.
Wide area networks characterized by lower bandwidth and higher latency.
Rest assured, PeerGFS is designed to be user-friendly, making installation and management a breeze.
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RaimaDB
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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IBM InfoSphere Data Replication
IBM® InfoSphere® Data Replication offers a log-based change data capture feature that ensures transactional integrity, which is essential for large-scale big data integration, consolidation, warehousing, and analytics efforts. This tool gives users the versatility to replicate data across various heterogeneous sources and targets seamlessly. Additionally, it facilitates zero-downtime migrations and upgrades, making it an invaluable resource. In the event of a failure, IBM InfoSphere Data Replication ensures continuous availability, allowing for quick workload switches to remote database replicas within seconds rather than hours. Participate in the beta program to gain an early insight into the innovative on-premises-to-cloud and cloud-to-cloud data replication functionalities. By joining, you can discover the criteria that make you a great fit for the beta testing and the benefits you can expect. Don’t miss the opportunity to sign up for the exclusive IBM Data Replication beta program and partner with us in shaping the future of this product. Your feedback will be crucial in refining these new capabilities.
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Qlik Replicate
Qlik Replicate is an advanced data replication solution that provides efficient data ingestion from a wide range of sources and platforms, ensuring smooth integration with key big data analytics tools. It offers both bulk replication and real-time incremental replication through change data capture (CDC) technology. Featuring a unique zero-footprint architecture, it minimizes unnecessary strain on critical systems while enabling seamless data migrations and database upgrades without downtime. This replication capability allows for the transfer or consolidation of data from a production database to an updated version, a different computing environment, or an alternative database management system, such as migrating data from SQL Server to Oracle. Additionally, data replication is effective for relieving production databases by transferring data to operational data stores or data warehouses, facilitating improved reporting and analytics. By harnessing these capabilities, organizations can enhance their data management strategy, ensuring better performance and reliability across their systems.
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