What is HydraDB?
HydraDB redefines graph database performance by building on object storage, a paradigm shift from traditional disk-based or in-memory systems. This architecture delivers near-infinite scalability, sub-millisecond query latencies, and seamless integration with cloud-native environments. Unlike conventional GraphDBs that struggle with data volumes, HydraDB's object storage foundation enables it to handle petabytes of data effortlessly while maintaining consistent speed. Key benefits include zero-copy replication, automated sharding, and built-in support for time-windowed graphs. Whether you're managing social network connections, fraud detection networks, or IoT device relationships, HydraDB provides an ACID-compliant, highly available solution that reduces operational costs by 70%. Its native support for openCypher and Gremlin query languages ensures easy adoption, while the RESTful API allows for simple integration into existing stacks. With HydraDB, you can build real-time recommendation systems, knowledge graphs, and fraud detection pipelines that scale with your data growth.
Use Cases
Key Features
Object storage-based GraphDB with linear scalability Sub-millisecond query latency on graphs with billions of edges Native support for openCypher and Gremlin query languages Automated sharding and zero-copy replication Time-windowed graph analytics for temporal data RESTful API and SDKs for Python Java and Node.js ACI3D compliance and high availabilityWho is it for?
Data engineers, backend developers, and database administrators handling large, scale graph workloads
