Google Cloud SQL
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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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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GraphBase
GraphBase is a Graph Database Management System designed to streamline the development and upkeep of intricate data graphs. While Relational Database Management Systems often struggle with complex and interconnected structures, graph databases offer superior modeling capabilities, enhanced performance, and greater scalability. The existing range of graph database solutions, including triplestores and property graphs, has been available for almost twenty years; although they are effective tools with diverse applications, they still fall short in managing intricate data structures. With the introduction of GraphBase, we aimed to facilitate the handling of complex data architectures, allowing your information to evolve into something greater—Knowledge. We accomplished this by reimagining the management of graph data, ensuring that the graph is prioritized as a fundamental component. In GraphBase, users benefit from a graph equivalent of the familiar "rows and tables" framework, which contributes to the user-friendly nature of Relational Databases, making it easier to navigate and manipulate data. Ultimately, GraphBase transforms how organizations view and interact with their data, paving the way for innovative possibilities.
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Fluree
Fluree is an immutable RDF graph database written in Clojure and adhering to W3C standards, supporting JSON and JSON-LD while accommodating various RDF ontologies. It operates with an immutable ledger that secures transactions with cryptographic integrity, alongside a rich RDF graph database capable of various queries. It employs SmartFunctions for enforcing data management rules, including identity and access management and data quality. Additionally, It boasts a scalable, cloud-native architecture utilizing a lightweight Java runtime, with individually scalable ledger and graph database components, embodying a "Data-Centric" ideology that treats data as a reusable asset independent of singular applications.
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