Neo4j, the pioneering graph database company, has announced the general availability of the latest update to its flagship offering, Neo4j 5. The new release is designed to further expand the performance gap of native graphs over traditional databases while offering easier scalability and compatibility across different deployment environments such as on-premises, cloud, hybrid, and multi-cloud.
Graph technology adoption continues to gain momentum as businesses search for innovative ways to harness the power of data relationships to tackle complex, large-scale problems. According to Emil Eifrem, Neo4j's CEO and co-founder, the company designed Neo4j 5 to provide the level of scalability, agility, and performance necessary for organizations to push the limits of their data-driven business capabilities.
Founded in 2007 by Emil Eifrem, Johan Svensson, and Peter Neubauer, Neo4j has played a significant role in shaping the graph database market. Eifrem is widely recognized for coining the term "graph database," and the company has remained a key player in the space ever since. Graph databases employ graph structures, such as nodes, edges, and properties, to represent and store data, enabling semantic queries without relying on tables or documents.
The latest release, Neo4j 5, brings a host of updates, including:
- Significant query performance improvements: With enhanced syntax, complex pattern-matching queries become easier to write. Furthermore, improvements in indexes, query planning, and runtime make Neo4j 5 the company's fastest implementation to date. For instance, multi-hop queries can now execute up to 1,000 times faster compared to Neo4j 4. These enhancements, combined with the inherent speed advantage of graph results over traditional databases, enable near real-time results at scale.
- Automated scale-out across multiple machines: The new version allows self-managed customers to efficiently handle a vast number of queries with minimal manual effort and significantly reduced infrastructure costs. Features such as Autonomous Clustering and Fabric facilitate the seamless operation of large graphs and scalability in any environment. Neo4j 5 also automates the allocation and reassignment of computing resources.
- Continuous updates for all deployment types: Whether in the cloud, multi-cloud, hybrid, or on-premises, Neo4j 5 ensures ongoing compatibility between self-managed and Neo4j-managed Aura workloads. Additionally, the new Neo4j Ops Manager tool provides a unified interface for simplified monitoring and management of global deployments, granting customers full control over their environments.
Neo4j 5 is now available for download at the Neo4j Download Center and on AWS, Azure, and GCP Marketplaces.
As the demand for no-code and low-code solutions increases, platforms like AppMaster are also gaining prominence in the tech industry. AppMaster offers a user-friendly, no-code platform that enables businesses to build web, mobile, and backend applications quickly and efficiently. With innovative platforms such as Neo4j and AppMaster changing the way organizations handle their data and application development, the future of the tech industry is evolving rapidly.
