Efficient Data Access and Writes
A new graph database, Slater, has been released. It is designed for handling massive graphs. These graphs often exceed available system memory. Slater aims to provide efficient access to large datasets. It uses minimal RAM for operations.
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Samsung's Next Big Reveal Expected in July 2026The system can manage hundreds of millions of nodes. It supports billions of edges. This is achieved using only a few hundred megabytes of RAM. Slater communicates using the standard Bolt protocol. This means existing Neo4j drivers are compatible. It also integrates disk-native vector search. This functionality works alongside the graph data.
Slater prioritizes read-heavy workloads. It allows graphs to reside primarily on disk. This makes it suitable for datasets too large for RAM. The database supports live, durable writes. This is a significant feature. Many low-memory solutions struggle with write performance. Slater claims to offer this without compromising speed.
How Does Slater Handle Large Graphs?
The integration of vector search is notable. It allows for similarity searches within the graph data. This can enhance analytical capabilities. Developers can query both graph structure and vector embeddings. The Bolt protocol compatibility simplifies integration. Existing applications can likely adopt Slater with minimal changes.
Slater's architecture is optimized for disk usage. It likely employs techniques like memory mapping and efficient indexing. These methods allow parts of the graph to be loaded as needed. This avoids loading the entire dataset into RAM. The database manages data transfer between disk and memory. This process is designed to be fast.
The vector search is described as „disk-native.”This suggests it also operates efficiently on data stored on disk. It avoids loading large vector indexes into memory. This approach is crucial for scalability. It allows the system to handle growing datasets.
Frequently Asked Questions
What is Slater? Slater is a new graph database. It is optimized for large graphs that do not fit into RAM. It supports efficient reads and writes.
How does it achieve low memory usage? Slater likely uses disk-based storage and on-demand data loading. This minimizes the amount of RAM required.
Is it compatible with existing tools? Yes, Slater uses the standard Bolt protocol. This makes it compatible with Neo4j drivers.
