Flavius
What is Flavius?
A cloud-native, scalable, and affordable graph lakehouse, seamlessly connecting diverse enterprise data together and unlocking actionable insightsfrom complex graph relationships at scale
Graph RAG
Fraud Detection
Supply Chain Analysis
Social Networks
Risk Management
Gaming Intelligence
Discover Flavius in 2 minutes
Features
Why choose Flavius?
From blazing-fast multi-hop queries and elastic scaling to AI-powered graph reasoning, Ofnil delivers enterprise-grade performance, cost efficiency, and seamless integration for next-generation graph analytics
Ultimate Performance
Columnar storage + distributed MPP acceleration handles billion-scale graphs effortlessly, delivering 10x faster complex query processing. Perfect forheavy-load scenarios like financial risk analysis and deep user-behavioral insightsElastic Cost Efficiency
Storage-compute separation with native integration to cost-effective object storage enables on-demand scaling within seconds. Enterprise-grade elasticity dynamically aligns resources with analytical demands—from daily BI reporting to large-scale GraphRAG processingCloud-Native Architecture
K8S-native deployment + stateless node design ensures auto-scaling of query and compute components. Enterprise-grade high availability guarantees zero downtime for PB-scale graph analyticsSeamless Data Integration
Open-format storage and Lakehouse design enables zero-ETL interoperability with data warehouses and AI training systems. Achieve minute-level import/export of billion-scale graph data, breaking data silosAI-Augmented Analytics
Built-in GraphRAG solution optimizes semantic retrieval, transforming billion-scale knowledge into LLM-understandable subgraph contexts. Boost accuracy and eliminate hallucination in scenarios like enterprise Q&A and risk reasoningResource Isolation
Multi-tier resource groups control CPU/memory quotas, ensuring mutual isolation between frequent small queries and batch jobs. Achieve high SLA and combines real-time health monitoring for mission-critical analytics
The Evolution of Graph Analytics
From Niche Tool to AI-Native Infrastructure
2024
Next Gen Graph Database: All-In-One Lakehouse
Ofnil redefines graph databases and graph analytics with native Lakehouse architecture, merging the best of graph databases and data lakehouse technologies and providing native support for AI/ML pipelines
2020
Second Gen Graph Database: Scaling Attempts
Improved horizontal scaling and optimizations for large-scale graphs, yet trade-offs persisted: complex ETL pipelines, fragmented storage, and high costs for AI/ML integration
2014
First Gen Graph Database: Small-Scale Focus
Early systems prioritized transactional queries (OLTP) for small-scale graphs, but struggled with deep analytics at scale
Architecture
Cloud Architecture
From enhancing LLM reasoning with GraphRAG to supply chain risk propagation analysis, Flavius empowers deep insights into billion-scale connected data with Lakehouse architecture, Flavius - Where Graph Intelligence Meets Cloud Efficiency!
FrontEnd
Backend
MetaService
Videos
How to use Ofnil Flavius?
Start your graph journey, learn to use Flavius in no time!
Flavius: Graph Lakehouse Usage Tutorial
A step-by-step guide to use Flavius for managing and querying graph data on the Ofnil Cloud Platform
Flavius: Graph Lakehouse Private Deployment Tutorial
A tutorial of deploying the Flavius graph lakehouse in an on-premises environment