Conquering 36TB LDBC SNB-SF30K BI TigerGraph’s Scalable Graph Data and Analytics Platform March 10, 2022 1 Speaker Bio Hands-on full-stack innovator, strategic thinker, leader and evangelist for new technology and product, with 25+ years of experience covering a wide range of technology areas. A big Knowledge Graph enthusiast and practitioner. Prior experiences include: - Jay Yu Ph.D. Vice President of Product & Innovation TigerGraph - Distinguished Engineer / Architect / Director at Intuit, work ranging from Tax Engine, UI Framework, Enterprise Data Architecture & Strategy, Graph Technology Exploration … Lead Developer on Teradata Parallel Objection-Relational DBMS Engine Ph.D. from University of Wisconsin - Madison database systems research group Inventor on 29 granted patents © 2022. ALL RIGHTS RESERVED. | TIGERGRAPH.COM | CONFIDENTIAL INFORMATION | 2 Talk Outline © 2022. ALL RIGHTS RESERVED. | TIGERGRAPH.COM | 1 TigerGraph Overview 2 LDBC Benchmark Overview 3 36TB LDBC SNB-BI on TigerGraph 4 Summary About TigerGraph Our product: the most scalable and performant graph data & analytics platform ○ ○ ○ ○ ○ ○ MPP natvie graph database with speed 40-300x faster than competition First and the only vendor completed 36TB LDBC (SNB-SF30K BI) benchmark Bring AI/ML to your data via In-database Machine Learning (55 Graph Algorithms) Supports HTAP (OLTP + OLAP) for real-time and batch workloads SQL-like query language (GSQL) and delightful dev experience (GraphStudio) Available on-premises and on cloud (AWS, GCP, Azure …) Our customers: enterprises at all sizes, including Fortune 500 companies, in ○ financial services, healthcare, telecom, media, utilities and cybersecurity, ecommerce and retail … (China Mobile, UnitedHealthGroup, Intuit, Jaguar Land Rover, JPMC, XBox …) 3X YoY Growth Our company: innovative and disruptive database technology company ○ ○ Founded in 2012, HQ: Redwood City, California. Offices in Europe, China, Asia, Americas … Total Funding: $170M+, 330+ Employees, 3X YoY Growth © 2022. ALL RIGHTS RESERVED. | TIGERGRAPH.COM | 4 Scalable ML and Analytic Platform for Connected Data © 2022. ALL RIGHTS RESERVED. | TIGERGRAPH.COM | CONFIDENTIAL INFORMATION | 5 Global Adoption by Enterprises of All Sizes ANALYZE CONNECTED DATA 10-100X faster than current solutions CONNECT ALL DATASETS AND PIPELINES Jaguar Land Rover Distributed Graph DB Friction-free scale up from GB to TB to Petabyte with lowest cost of ownership . Supply chain planning accelerated from 3 weeks to 45 minutes, $100M Business Value Contribution! Advanced Analytics Customer 360 connecting 200+ datasets and pipelines Fraud Detection - batch to real-time for 750 million calls/day Fortune 50 Retailer Item 360 for eCommerce across 100+ datasets LEARN FROM CONNECTED DATA Identity graph connecting multiple data pipelines Continuous graph-based feature generation and training In-Database Machine Learning AI-based Customer 360 for entity resolution, recommendation engine, fraud detection 7 out of top 10 global banks © 2022. ALL RIGHTS RESERVED. | TIGERGRAPH.COM | Real-time fraud detection and credit risk assessment 6 客户概况 金融服务 媒体& 技术& 电商 电信 医疗& 制造& 能源& 政府 © 2022. ALL RIGHTS RESERVED. | TIGERGRAPH.COM | 7 Talk Outline © 2022. ALL RIGHTS RESERVED. | TIGERGRAPH.COM | 1 TigerGraph Overview 2 LDBC SNB Overview 3 LDBC SNB-SF30K on TigerGraph 4 Summary Linked Data Benchmark Council https://ldbcouncil.org ● A non-profit organization ○ define standard graph benchmarks ● LDBC consists of members ○ Industry vendors ○ Academia organizations/researchers © 2022. ALL RIGHTS RESERVED. | TIGERGRAPH.COM | LDBC SNB (Social Network Benchmark): Schema ● ● Static Entities ○ Geo location ○ Tag, tagclass Dynamic Entities ○ Person ○ Forum ○ Post & Comment LDBC SNB Spec (0.4.0) © 2022. ALL RIGHTS RESERVED. | TIGERGRAPH.COM | LDBC SNB Workloads ● Interactive Workloads (SNB Interactive): complex reads, short reads and transactional updates for concurrent OLTP workloads. ● Business Intelligence Workloads (SNB BI): 20 BI queries with complex multi-hop traversals, aggregations and analytics for OLAP workloads, with realistic periodic micro-batch data ingestion and updates. © 2022. ALL RIGHTS RESERVED. | TIGERGRAPH.COM | LDBC SNB Query Example - Popular Topics © 2022. ALL RIGHTS RESERVED. | TIGERGRAPH.COM | LDBC SNB Query Example - Most Authoritative Users © 2022. ALL RIGHTS RESERVED. | TIGERGRAPH.COM | LDBC