FalkorDB Unveils v4.8: Up to 42% More Memory Efficient

Tel-Aviv, IL (February 25, 2025) - FalkorDB, a leading innovator in graph database technology, today announced the release of version 4.8, a major update that slashes memory usage by up to 42% while delivering faster query performance and advanced indexing capabilities. This breakthrough enables businesses and developers to reduce costs and deploy larger graphs on smaller machines, setting a new standard for efficiency in the graph database market.

A Leap Forward in Graph Database Performance
The latest FalkorDB release focuses on optimizing resource utilization, reducing memory footprint, and accelerating query execution. With a memory efficiency that outstrips Neo4j-requiring 7x less memory to manage the same dataset-version 4.8 empowers users to handle complex graph workloads with unprecedented scalability and cost-effectiveness.

Key highlights of the release include:

42% Memory Reduction: Enhanced memory management allows for larger graph deployments on compact hardware, broadening accessibility for enterprises and developers.
65% Faster Aggregations: Optimized functions like COLLECT cut processing times significantly. In benchmark tests with the query UNWIND range(0, 1000000) AS X RETURN x % 1024, collect({x:x, minus_x: -x}), v4.8 reduced execution time by 65%.
Full-Text Edge Indexing: New support for full-text indexes on edges enhances search functionality and enables more sophisticated graph traversals based on relationship properties.
GraphBLAS Upgrade: Integration of a new GraphBLAS version with 32-bit matrix indices support.

"This release underscores our commitment to pushing the boundaries of graph database technology," said Guy Korland, CEO of FalkorDB. "With version 4.8, we're not just reducing memory demands-we're giving our users the ability to scale their applications faster and more affordably than ever before. Our competition's memory demands are simply no match for FalkorDB's efficiency."

These improvements make FalkorDB v4.8 an ideal choice for industries relying on graph databases, from fraud detection and recommendation systems to network analysis and AI-driven insights.

Dan Shalev, Marketing & Product
dan.shalev@falkordb.com | FalkorDB

FalkorDB Inc., 850 New Burton Road, Suite 201 City of Dover, Country of Kent Delaware 199404

FalkorDB is an open-source graph database management system.Engineered to manage connected data and intricate relationships, it represents information as interconnected nodes and edges for efficient storage and rapid retrieval.Beyond that, FalkorDB delivers an accurate, multi-tenant Retrieval-Augmented Generation (RAG) solution, powered by a low-latency, scalable graph database technology (GraphRAG) that ensures seamless performance and accuracy across diverse applications. Purpose-built for development teams handling complex, interconnected datasets-whether structured or unstructured-this innovative platform excels in real-time and interactive user environments, empowering creators to build advanced, data-driven solutions with precision and speed.

This release was published on openPR.