Front-End Engineer

Scaling without limits: Infinigraph is now Generally Available. Since Neo4j Inc first introduced the Infinigraph architecture in its Early Access Program, the response from the graph community has been clear: the world's most ambitious AI and data projects need a foundation that can scale data, connections, and context. Today, Neo4j Inc is thrilled to announce that Neo4j Graph Database - Infinigraph Edition is now Generally Available (GA). What began as a breakthrough architectural vision is now a production-ready reality. Infinigraph is designed for organizations that have outgrown the limits of traditional graph scaling. The architecture of "infinite" As Neo4j Inc detailed in its architectural deep dive, Infinigraph represents a fundamental shift in how graph data is stored and processed. By introducing a distributed architecture, Neo4j Inc has eliminated the physical constraints of vertical scalability for querying the ever increasing size of interconnected datasets. This architecture enables its customers to run 100TB+ operational and analytical graph workloads in a single system without fragmenting the graph, duplicating infrastructure, or compromising performance. The GA release solidifies these core innovations: * Horizontal Scaling: Grow the size of the database by adding additional machines/shards to the cluster. * Property Sharding: As explored in its technical breakdown of property sharding, Infinigraph handles massive property sets by distributing them across the cluster. This enables Neo4j Inc to maintain high graph traversal performance while expanding the amount of data managed. Powering high-value workloads from large data sets. Growing data volumes and increasing workload complexity challenge organizations to keep their systems running at scale. Use cases such as financial crime detection and prevention yield significant benefits. To be successful, the platforms running these kinds of workloads need a data architecture that continues to perform even as the volume of data grows and the queries get more complex. Infinigraph is the data layer for high-value workloads at scale. It enables organizations to: * Build Systems for Operational and Analytical Workloads: Support fast queries by storing data and relationships together for fast traversals of complex networks of transactions. * Handle Massive Data Volumes: Distribute data across multiple servers to enable flexible scalability options as data size increases. Fueling the AI revolution: GraphRAG at scale. The timing of this GA release is no coincidence. As Enterprise AI moves from pilot to production, the "Context Gap" has become the primary hurdle for Large Language Models (LLMs). Generic RAG (Retrieval-Augmented Generation) is often not enough. To provide truly accurate, hallucination-free responses, AI agents need the deep, interconnected context that only a Knowledge Graph can provide. However, for global enterprises, that context exists across billions or trillions of data points. Infinigraph is the data layer for GraphRAG at scale. It enables organizations to: * Build Massive Knowledge Graphs: Integrate disparate data sources into a single, unified graph that spans large use cases. * Support Agentic AI: Provide AI agents with "long-term memory" that grows with your business, allowing them to navigate complex relationships across trillions of nodes. * Real-Time Context: Deliver structured context to LLMs in milliseconds, ensuring that your AI applications are as fast as they are intelligent. Enterprise ready. Moving from Early Access to General Availability means Infinigraph is now backed by the full weight of Neo4j support, security standards, and SLAs. It is designed to sit at the heart of your mission-critical stack, providing the reliability you expect from the leader in graph technology with the "infinite" scale required for the future. The limits of the past - memory constraints, storage ceilings, and sharding complexities - are gone. Ready to scale your graph to the next level? Check out the webinar and contact its team to learn more about deploying Infinigraph for your most demanding AI and data workloads.

Neo4j Fleet Manager offers unified control plane for graph databases. Neo4j, a leading graph intelligence platform, is releasing Neo4j Fleet Manager - a unified control plane for managing and monitoring graph databases across any environment including cloud, hybrid, and on-premises. The offering comes as graph adoption accelerates with generative AI and agentic applications, where knowledge graphs have proven essential for accurate and transparent outcomes in production, the company said. Neo4j Fleet Manager gives IT leaders a single operational view of their entire Neo4j footprint: AuraDB cloud services, self-managed Enterprise Edition, and local deployments such as Desktop and Community Edition. It also supports Neo4j Infinigraph, a distributed, sharded architecture launched last month that scales graph workloads across multiple machines and environments at 100TB+ scale. Many enterprises use Neo4j's free Community Edition (CE) for innovation and experimentation, the company said. CE's flexibility and reliability have driven adoption, but in large organizations, it can also lead to sprawl and inconsistent governance. Fleet Manager now gives CIOs and CISOs a single view to monitor and manage CE alongside managed and enterprise deployments, providing the operational footing to scale confidently while maintaining compliance and security standards. Available through Neo4j's Aura Console, Fleet Manager provides: * Centralized administration and policy enforcement: Manage all Neo4j databases across AWS, Azure, GCP, and on-prem infrastructure from one control plane. Tag deployments by team or project, and maintain visibility into license usage and extensions. * Unified observability: End-to-end visibility into database health, performance, and resource utilization. Real-time telemetry simplifies troubleshooting and reduces time to resolution. * Operational automation and consistency: Simplified version upgrades with guided workflows to eliminate manual setups and errors, and standardizes operations to minimize risk and downtime of enterprise data. As enterprises accelerate GenAI, agentic, and data unification initiatives, Fleet Manager provides enterprise governance for distributed graph environments, from experimental Community Edition deployments to global Infinigraph clusters. It enables developers to retain flexibility while giving IT and security leaders consistent oversight and compliance visibility, the company said. "Data is increasingly distributed, but it still needs to be governed as one system of record," said Sudhir Hasbe, president and CPO, Neo4j. "Fleet Manager gives enterprises the visibility and control required to manage graph data wherever it runs, a prerequisite for building reliable, governed foundations for GenAI." Neo4j Fleet Manager is available to all Neo4j customers, including Community Edition users, at no cost. For more information about this news, visit https://neo4j.com.