
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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Cloud SQL is a fully managed relational database service that supports MySQL, PostgreSQL, and SQL Server. It includes rich extensions, configuration flags, and developer ecosystems. Cloud SQL offers $300 in credits for new customers. You won't pay until you upgrade. Reduce maintenance costs by using fully managed MySQL, PostgreSQL, and SQL Server databases. The SRE team provides 24/7 support for reliable and secure services. Data encryption in transit and at rest ensures the highest level of security. Private connectivity with Virtual Private Cloud, user-controlled network access, and firewall protection add an additional layer of safety.
Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA, you can trust your data to be protected. Scale your database instances with a single API request, whether you are just testing or need a highly available database in production. Standard connection drivers and integrated migration tools let you create and connect to a database in a matter of minutes.
Transform your database management with AI-driven support in Gemini, currently available in preview on Cloud SQL. It enhances development, optimizes performance, and simplifies fleet management, governance, and migration.
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ArchiverFS
ArchiverFS offers a file archiving solution designed for servers and network storage systems, enabling any device to function as secondary storage. This solution has a minimal impact on the host system and provides comprehensive support for cloud integration, distributed file systems (DFS), replication, de-duplication, and data compression. With ArchiverFS, users can utilize any NAS, SAN, or cloud service to store older unstructured files, as long as it can be shared over the network using a UNC path and formatted with NTFS. Notably, the system operates without relying on a database for storing files, their pointers, or metadata—utilizing NTFS exclusively throughout the process. Furthermore, ArchiverFS facilitates the bulk transfer of outdated files from primary storage to secondary storage, while ensuring that all file attributes, permissions, and directory structures are preserved. Additionally, users can leave behind various links in place of the relocated files, including fully functional symbolic links that replicate the appearance and behavior of the original files seamlessly. This innovative approach not only streamlines storage management but also enhances the efficiency and organization of file systems.
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RecordMatch.io
RecordMatch.io is an innovative cloud-based platform designed for record matching and deduplication, enabling organizations to efficiently clean, merge, and reconcile customer or entity data by swiftly identifying and resolving duplicate and inconsistent records. Users have the capability to upload both single and multiple source files, while the software utilizes a proprietary matching algorithm along with best-practice logic to pinpoint matching records, merge them seamlessly, and create a unified "golden record" complete with a unique identifier that encompasses all pertinent information for each entity. The results are delivered within minutes via a web application, granting users control over the uploading process, matching criteria, and final consolidated outputs. Additionally, it features a Logic Manager that reveals the matching rules applied and permits customization tailored to specific datasets. As a fully SaaS solution, RecordMatch.io eliminates the need for any software installations or hardware scaling, focusing on rapid processing to enhance user experience and optimize data management. This combination of features makes RecordMatch.io an essential tool for organizations looking to streamline their data management processes effectively.
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