
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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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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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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StorCentric Data Mobility Suite
The StorCentric Data Mobility Suite (DMS) is a comprehensive software solution designed to facilitate the effortless transfer of data to its appropriate locations. This cloud-enabled platform provides robust support for data migration, replication, and synchronization across diverse environments such as disk, tape, and cloud, helping organizations maximize their return on investment by breaking down data silos. With its vendor-agnostic capabilities, DMS allows for easy management and deployment on standard servers. It has the capacity to handle the simultaneous transfer of millions of files while ensuring the security of data in transit through SSL encryption. By simplifying point-to-point data movement, DMS addresses the flow requirements across various storage platforms effectively. Furthermore, its detailed filtering options and continuous incremental updates help overcome the complexities associated with consolidating data in mixed environments. The suite also allows for the synchronization of files across different storage repositories, including both tape and disk, ensuring that organizations can manage their data efficiently and effectively. Ultimately, DMS enhances overall data management strategies, making it an essential tool for modern enterprises.
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