Follow BigDATAwire:

November 10, 2022

Neo4j Releases the Next Generation of Its Graph Database

Neo4j has announced the general availability of the next generation of its namesake graph database for both community and enterprise users.

Neo4j 5 widens the performance lead of native graphs over traditional databases while providing easier scalability across any deployment, whether on-premises, in the cloud, hybrid, or multi-cloud, Neo4j said in a release.

Graph databases are organized around relationships and make connections across a wide range of data types and formats to be viewed in a connected data map. Gartner predicts that graph technology will be used in 80% of data and analytics solutions by 2025, up from only 10% in 2021.

Source: Neo4j

“Graph technology adoption is accelerating as organizations seek better ways to leverage connections in data to solve complex problems at scale,” said Emil Eifrem, CEO and co-founder of Neo4j. “We designed Neo4j 5 to deliver the type of scalability, agility, and performance that enable organizations to push the envelope on what’s possible for their data and their business.”

According to the company, Neo4j 5’s 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 organizations 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.

Founded in 2007, Neo4j is a well-known member of the graph database sphere. The company says over 1,300 organizations use its technology offerings to power critical applications, with Comcast, NASA, and Volvo Cars among them.

“Switching to Neo4j was a huge win for us,” said David Fox, senior software engineer at Adobe and co-founder and 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.”

Neo4j 5 is available for download at this link, as well as on AWS, Azure, and GCP Marketplaces. Additionally, the company is holding an online graph tech conference for developers and data scientists, Neo4j Nodes 22, November 16-17.

Related Items:

Neo4j Sees Graph Data Science Taking Off Following $325 Million Round

Neo4j Achieves AWS Data and Analytics Competency Status

Neo4j Going Distributed with Graph Database

BigDATAwire