Slater is a low-memory graph database optimized for scenarios where conventional graph databases cannot efficiently operate. It effectively serves graphs that exceed in-memory limitations, allowing for hundreds of millions of nodes and billions of edges to be managed with only a few hundred megabytes of RAM. Utilizing the standard Bolt protocol, Slater is compatible with existing Neo4j drivers, making integration straightforward and seamless. This powerful database also supports disk-native vector search alongside the graph data, enabling advanced queries and retrieval methods while maintaining performance through live, durable writes.

Key Features

• Memory Efficiency: Resident memory is strictly determined by a cache budget set by the user, allowing for the scalability of large graphs without extensive RAM usage.
• Read-Write Operations: Slater provides durable writes with a log-structured merge (LSM) layer, allowing updates to be performed efficiently without hindering read performance. Users can modify nodes and edges live without needing to rebuild the entire graph.
• Multi-Tenancy: Multiple graphs can be hosted on a single server, each with unique user permissions, making it ideal for multi-tenant applications without additional complexity.
• Built-in Security: Slater ensures data security with at-rest encryption, TLS support over the Bolt protocol, and meticulous access control lists (ACLs) to govern user permissions and data integrity.
• Deployment Simplicity: The database is designed to facilitate easy deployment with a lightweight binary distribution that can be run in containers, simplifying setup and management.
• Vector Search Capabilities: Integrated disk-native approximate-nearest-neighbour (KNN) search facilitates efficient queries of embeddings alongside graph data, enabling powerful analytics and retrieval applications.

Scalable Architecture

Slater's architecture is designed to optimize performance under load, leveraging immutable data structures and a defined write path that does not impact read operations. This guarantees stable system performance, with no waiting times on writes or contention for resources.

Integration and Compatibility

Being a Bolt-compliant graph database, Slater works out-of-the-box with popular Neo4j drivers in various languages such as JavaScript, Python, and Go, allowing users to utilize their existing tools without additional learning curves or modifications.

Conclusion

Slater stands out as an efficient solution for cases requiring scalable graph database management without the typical memory constraints, making it a valuable tool for developers and organizations dealing with large, complex datasets. For a comprehensive guide and detailed functionalities, refer to the full manual.

Explore the documentation to get started or deeper into its advanced features.