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TigerGraph
Overview
HQ Location
United States
Year Founded
2012
Company Type
Private
Revenue
< $10m
Employees
51 - 200
Website
Twitter Handle
Company Description
TigerGraph is a provider of a graph database platform for enterprise applications. It fulfills the true promise and benefits of the graph platform by supporting real-time deep link analytics for enterprises with complex and colossal amounts of data. TigerGraph???s proven technology is used by customers including Alipay, VISA, SoftBank, State Grid Corporation of China, Wish and Elementum. The company supports applications such as IoT, AI, and Machine Learning to make sense of ever-changing big data. It also provides personalized recommendations, fraud prevention, supply-chain logistics, company knowledge graph, and other features. Founded by Yu Xu, Ph.D. in 2012, TigerGraph is funded by Qiming VC, Baidu, Ant Financial, AME Cloud, Morado Ventures, Zod Nazem, Danhua Capital, and DCVC. TigerGraph is based in Redwood City, CA.
IoT Solutions
TigerGraphDb
TigerGraph is delivering the next stage in the evolution of the graph database: the first system capable of real-time analytics on web-scale data. Our Native Parallel Graph? (NPG) design focuses on both storage and computation, supporting real-time graph updates and offering built-in parallel computation. Our SQL-like graph query language (GSQL) provides for ad-hoc exploration and interactive analysis of Big Data. With GSQL’s expressive capabilities and NPG speed, you’ll be able to perform Deep Link Analytics: uncovering connections that previously were too impractical to reach or too cumbersome to express.
TigerGraph Cloud
Built for agile teams who’d rather be building innovative applications to deliver new insights than managing databases. Start in minutes, Build in Hours and Deploy in Days with a TigerGraph Cloud graph database as a service.
TigerGraph GraphStudio?
TigerGraph GraphStudio? is our simple yet powerful graphical user interface. GraphStudio integrates all the phases of graph data analytics into one easy-to-use graphical user interface. GraphStudio is great for ad-hoc, interactive analytics and for learning to use the TigerGraph platform.
TigerGraph is delivering the next stage in the evolution of the graph database: the first system capable of real-time analytics on web-scale data. Our Native Parallel Graph? (NPG) design focuses on both storage and computation, supporting real-time graph updates and offering built-in parallel computation. Our SQL-like graph query language (GSQL) provides for ad-hoc exploration and interactive analysis of Big Data. With GSQL’s expressive capabilities and NPG speed, you’ll be able to perform Deep Link Analytics: uncovering connections that previously were too impractical to reach or too cumbersome to express.
TigerGraph Cloud
Built for agile teams who’d rather be building innovative applications to deliver new insights than managing databases. Start in minutes, Build in Hours and Deploy in Days with a TigerGraph Cloud graph database as a service.
TigerGraph GraphStudio?
TigerGraph GraphStudio? is our simple yet powerful graphical user interface. GraphStudio integrates all the phases of graph data analytics into one easy-to-use graphical user interface. GraphStudio is great for ad-hoc, interactive analytics and for learning to use the TigerGraph platform.
Key Customers
State Grid, Amgen, County Of Santa Clara, OpenCorporate, Pagantis
IoT Snapshot
TigerGraph is a provider of Industrial IoT infrastructure as a service (iaas), and analytics and modeling technologies.
Technology Stack
TigerGraph’s Technology Stack maps TigerGraph’s participation in the infrastructure as a service (iaas), and analytics and modeling IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
Case Studies.
Case Study
Technology Giant Enhances Customer Experience with TigerGraph
The Fortune 50 company, one of the largest technology corporations in the world, was seeking to develop a new core customer 360 record system. This system was intended to offer a product recommendation system and entity resolution feature. The goal was to create accurate customer profiles that displayed hierarchical relationships, thereby delivering an exceptional customer experience when customers interacted with their centralized database for various functions such as purchasing products or requesting services. The company also desired a system that was scalable and more efficient than their previous one. This operational function for their customer 360 was deemed critical to their competitive advantage in the market. The system was to consist of a centralized data source that would serve as the core of the customer data platform.
Case Study
Cyber Resilience Leader Enhances Cybersecurity Services with TigerGraph
A leading cybersecurity company, known for its threat intelligence, endpoint protection, and disaster recovery services, was facing a significant challenge. The company was unable to scale their classification services with their existing SQL Server-based solution. The rapid emergence of new websites necessitated the use of accurate and timely threat data, and the execution of thousands of classifications per second across massive data sets. The company recognized the need for a completely new back-end to power their classification services, to keep pace with the ever-expanding internet.
Case Study
Major Financial Institution Enhances Anti-Money Laundering Capabilities with TigerGraph
The financial institution, one of the largest in the United States, was seeking to enhance its networking and link analysis capabilities for anti-money laundering. The institution wanted to identify connections between open work items in situations of interest, such as previous SAR filings and other open work items, and make this information available to analysts and investigators. They also wanted to conduct thorough ad hoc reviews of an entity, displaying the connections from an ecosystem surrounding a specific starting point of an investigation. Furthermore, the system should enable analysts to identify which connections and situations of interest lead to productive investigations and inform the creation, hibernation, or escalation of work items. The company was in search of a solution that offered a client-focused approach, state-of-art technology, and a next-generation database management solution that integrated seamlessly with its existing workflow.
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