"Neo4j Enhances Graph Technology Accessibility with AI Copilot and 15x Increased Read Capacity"

As enterprises increasingly invest in AI and analytics, data infrastructure vendors are striving to reduce barriers to adoption and maximize ROI for teams eager to harness their data assets. Following initiatives from platforms like Snowflake, Neo4j—a leader in graph technology—has made notable advancements.

Today, Neo4j, under CEO Emil Eifrem, announced significant upgrades to its fully managed AuraDB service, enhancing usability with generative AI while boosting performance with 15x read capacity and advanced data security controls. The company also introduced a new self-serve version at a lower price point, facilitating wider adoption of graph databases, particularly for generative AI and advanced analytics.

“This announcement marks a pivotal leap in our mission to equip enterprises with the industry's most robust and scalable graph database management solution. These innovations lower barriers for adopting graph technology, enabling organizations to explore new possibilities with their data,” stated Sudhir Hasbe, Chief Product Officer.

What is AuraDB?

AuraDB is a fully managed cloud graph database service that allows users to leverage data relationships for rapid real-time analytics and advanced generative AI applications. The database organizes data akin to sketching on a whiteboard, using nodes to represent entities, such as people and concepts, along with their connections. This graph structure enables users to uncover complex patterns and execute graph algorithms, providing insights in milliseconds.

To further simplify user interactions with the managed graph database, Neo4j is introducing new capabilities in AuraDB.

New Features for Enhanced User Experience

A standout addition is the generative AI copilot within the Aura console, powered by OpenAI's large language model (LLM). This tool offers real-time suggestions and optimizations for writing Cypher queries, significantly reducing the time required to extract insights:

“The co-pilot allows users to input natural language queries and receive corresponding Cypher code generated by the LLM, informed by their current database schema. Users can edit the generated code before execution,” Hasbe explained.

Additionally, NeoDash—a no/low-code interactive dashboard builder—enables users to create maps, graphs, and charts quickly, facilitating better data analysis and interaction. Organizations can utilize NeoDash to map security risks or visualize real-time supply chains.

AuraDB now also features advanced security capabilities, including customer-managed encryption keys and real-time security log auditing. The recent upgrades enhance read capacity, enabling the database to manage 15 times more real-time data without compromising latency, thanks to the introduction of read-only secondaries.

“This feature distributes read-heavy workloads, ensuring consistent performance as data scales by directing read queries to secondary nodes,” Hasbe noted.

The Growing Importance of Graph Technologies

The upgrade comes at a time when graph technologies are rapidly gaining traction. According to Gartner, these technologies are expected to support 80% of data and analytics workloads by 2025, up from just 10% in 2021. Graph technologies will significantly enhance performance in retrieval-augmented generation (RAG) AI applications.

Neo4j aims to capitalize on this growing demand by offering more accessible solutions. The newly introduced AuraDB Business Critical tier, a self-serve option, is 20% cheaper than the premier enterprise offering, now rebranded as AuraDB Virtual Dedicated Cloud.

Over the past three years, 30-40% of new Neo4j customers have adopted AuraDB, contributing to a customer base exceeding 1,700 and over 300,000 developers, cementing Neo4j's position as a leader in scalable graph technology.