Couchbase’s operational data platform for AI is a scalable foundation for enterprise operational, analytical, mobile and AI workloads that replaces legacy infrastructure and data services. Couchbase connects and mobilizes your data, so you can power peak experiences, harness the power of AI and scale globally—all with less risk and lower overhead.
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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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BergDB
Greetings! BergDB is an efficient database built on Java and .NET, crafted for developers who want to concentrate on their tasks without getting bogged down by database complexities. It features straightforward key-value storage, ACID-compliant transactions, the ability to perform historic queries, effective concurrency management, secondary indices, swift append-only storage, replication capabilities, and seamless object serialization among other attributes. As an embedded, open-source, document-oriented, schemaless NoSQL database, BergDB is purposefully designed to deliver rapid transaction processing. Importantly, it ensures that all database writes adhere to ACID transactions, maintaining the highest consistency level available, which is akin to the serializable isolation level in SQL. The functionality of historic queries is beneficial for retrieving previous data states and managing concurrency efficiently, as read operations in BergDB are executed without locking any resources, allowing for smooth and uninterrupted access to data. This unique approach ensures that developers can work more productively, leveraging BergDB’s robust features to enhance application performance.
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Oracle Berkeley DB
Berkeley DB encompasses a suite of embedded key-value database libraries that deliver scalable and high-performance data management functionalities for various applications. Its products utilize straightforward function-call APIs for accessing and managing data efficiently. With Berkeley DB, developers can create tailored data management solutions that bypass the typical complexities linked with custom projects. The library offers a range of reliable building-block technologies that can be adapted to meet diverse application requirements, whether for handheld devices or extensive data centers, catering to both local storage needs and global distribution, handling data volumes that range from kilobytes to petabytes. This versatility makes Berkeley DB a preferred choice for developers looking to implement efficient data solutions.
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