Neo4j announced today the general availability of Neo4j 5, the next-generation cloud-ready graph database.
“Graph technology adoption is accelerating as organisations seek better ways to leverage connections in data to solve complex problems at scale,” said Peter Philipp, General Manager, ANZ, Neo4j. “We designed Neo4j 5 to deliver the type of scalability, agility, and performance that enable organisations to push the envelope on what’s possible for their data and their business.”
Neo4j 5’s specific benefits include:
- Query language improvements and up to 1000x faster query performance. New syntax makes it even easier to write complex pattern-matching queries. Improvements in indexes, query planning, and runtime make Neo4j 5 the fastest implementation ever. For example, multi-hop queries can now be executed up to 1000x faster than Neo4j 4. These improvements are above and beyond the already exponentially faster Neo4j’s graph results over traditional databases. Together, these benefits enable more real-time results at scale.
- Automated scale-out across hundreds of machines, enabling self-managed customers to grow and handle a massive number of queries with little manual effort and significantly less infrastructure cost. This benefit is achieved via new and enhanced features like Autonomous Clustering and Fabric, enabling organisations to efficiently operate very large graphs and scale out in any environment. Neo4j 5 also automates the allocation and reassignment of computing resources.
- Continuous updates across all deployments, whether in the cloud, multi-cloud, hybrid, or on-prem. Neo4j 5 ensures ongoing compatibility between self-managed and Aura workloads managed by Neo4j. In addition, a new tool called Neo4j Ops Manager provides a unified single pane for easy monitoring and management of global deployments, giving customers full control over their environments.
“Switching to Neo4j was a huge win for us,” said David Fox, Senior Software Engineer at Adobe and Co-founder & Engineering Lead at devRant. “We’ve seen significant performance improvements, and a great reduction in complexity, storage, and infrastructure costs. Staff now focus on improving the infrastructure, versus spending time frustratingly micro-managing it.”
