TigerGraph 是面向企业应用程序的图形数据库平台提供商。它通过支持具有复杂和海量数据的企业的实时深度链接分析，实现了图形平台的真正承诺和好处。 TigerGraph 的成熟技术被包括支付宝、VISA、软银、中国国家电网、Wish 和 Elementum 在内的客户使用。该公司支持物联网、人工智能和机器学习等应用程序，以理解不断变化的大数据。它还提供个性化推荐、防欺诈、供应链物流、公司知识图谱等功能。由 Yu Xu 博士创立2012年，TigerGraph由启明创投、百度、蚂蚁金服、AME Cloud、Morado Ventures、Zod Nazem、丹华资本和DCVC投资。 TigerGraph 总部位于加利福尼亚州雷德伍德城。
TigerGraphDb TigerGraph 正在实现图数据库发展的下一个阶段：第一个能够对网络规模数据进行实时分析的系统。我们的原生并行图？ (NPG) 设计侧重于存储和计算，支持实时图更新并提供内置的并行计算。我们的类 SQL 图形查询语言 (GSQL) 提供对大数据的即席探索和交互式分析。借助 GSQL 的表达能力和 NPG 速度，您将能够执行深度链接分析：发现以前难以达到或表达起来过于繁琐的连接。 TigerGraph Cloud专为那些宁愿构建创新应用程序以提供新见解而不是管理数据库的敏捷团队而构建。使用 TigerGraph 云图形数据库即服务，几分钟内开始，几小时内构建并在几天内部署。 TigerGraph 图形工作室？ TigerGraph 图形工作室？是我们简单而强大的图形用户界面。 GraphStudio 将图形数据分析的所有阶段集成到一个易于使用的图形用户界面中。 GraphStudio 非常适合临时、交互式分析和学习使用 TigerGraph 平台。
TigerGraph的技术栈描绘了TigerGraph在基础设施即服务 (iaas), 和 分析与建模等物联网技术方面的实践。
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Improves Customer Experiences
This company was looking to build a new core customer 360 record system which would offer a product recommendation system and entity resolution feature. The new product recommendation system would enable the company to create accurate customer profiles that showed hierarchical relationships and help deliver an exceptional customer experience when customers log in to their centralized database to perform functions, buy products, request services, etc.They also wanted it to be scalable and a more performant system than their last. This operational function for their customer 360 was critical to their competitive advantage in the market. The system would consist of a centralized data source that would be the brains of the customer data platform.
Major Financial Institution Improves Its Ability to Combat Money Laundering
The financial institution was looking to improve its networking and link analysis capability for anti-money laundering to be applied in three ways:Connections between open work items in situations of interest (such as previous SAR filings, and other open work items) should be identified and available to analysts and investigators;Thorough ad hoc reviews of an entity should display the connections from an ecosystem surrounding a specific starting point of an investigation;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 examined a number of alternatives in the hope of finding one that offered a client-focused approach, state-of-art technology, and next-generation database management solution that integrated seamlessly with its existing workflow.
Market Leader in Cyber Resilience Scales Next-Generation Cybersecurity Services
The cybersecurity company was unable to scale their classification services with their existing solution based on SQL Server. New websites emerge at astonishing rates – in order to deliver effective cybersecurity, they needed to use accurate and timely threat data and execute thousands of classifications per second across massive data sets.They recognized that they needed an entirely new backend to power their classification services in order to keep up with the ever-expanding internet.
Sightline Systems offers a real-time operations intelligence solution focused on analytics, root-cause analysis, performance management, correlation of data and predictive analysis from any source — critical IT systems including mainframes, applications, storage, databases — down to the process level. Sightline’s powerful analytics go beyond point-in-time data to include over time and real-time trend analysis, with abnormal behaviours or events dynamically communicated for appropriate actions. For more than 10 years Sightline has reported a 95% renewal rate from customers including Fortune 500 and Global 2000 companies in finance, telecommunications, travel, and retail as well as federal, state and local governments.
Dashmote is a Dutch company specialized in AI market intelligence solutions primarily using Image Recognition, NLP and other Data Mining techniques to analyze data in online and e-commerce platforms around the world. We provide our clients with real-time, online information regarding their brand, outlets universe and industry trends as well as any other aspect of their business that can be analyzed with algorithms.In 2018, we won Best B2B Startup in Europe by McKinsey, Google and Rocket Internet. This year opened our Asia offices in Shanghai. Some of our global clients include companies such as Coca-Cola, Unilever, and Heineken among many more.General deck: https://docsend.com/view/4chsy88
Inspection? was incubated inside Sky-Futures and spun out prior to the sale of Sky-Futures to Private Equity in May 2019. The founding team have worked together for an average of 4 years in Sky-Futures before the launch of Inspection?.Our core competence is solving deeply technical problems and making them available to enterprise customers through a scalable and configurable application. We understand the requirements of large enterprise companies and the realities of Industrial data collection, a workflow that manages the organisation and analysis of TBs of data and the integration into existing platforms and applications.
DataFactZ is a Data Analytics company focused on enabling data-driven transformation. DataFactZ supports many leading data and analytics platforms and has solid partnerships with many tech providers. They combine several Data Science techniques from statistics, Machine Learning, deep learning, decision science, cognitive science and business intelligence, offering solutions such as data management, predective analytics and data engineering to businesses.
Industrial data platformThe ConnectedThinks Industrial data platform is capable of connecting to multiple industrial data sources, correlating and transforming the data into useful insights, and helping improve the efficiency of your industrial business.Edge ConnectorsThe edge-connectors suite is a middleware deployable on ARM or X86-based Industrial edge IoT gateways. It enables quick connection and rapid onboarding of various assets such as machinery, sensors, asset trackers, Bluetooth beacons, and IP Video streams as well as OT assets such as PLC, SCADA, CNC, and HMI – to name a few. It offers secure device management and remote connection. Data PlatformThe ConnectedThinks data platform is a modern technology stack, built-to-scale to ingest and process high-speed, high-density, and real-time industrial data. Its functionality could be split into 3 primary parts – the data-ingest, the data-transform-&-store, and the data-query part.The data-ingest part consists of a high-performant MQTT broker and a highly-scalable, multi-cluster Kafka messaging queue which together can ingest and process data at a very high speed.The data-transform-&-storage part is built on top of Kafka KSQLdb and Apache Spark with real-time data transformation and the ability to integrate real-time machine-learning predictions for Anomaly Detection and other Predictive Maintenance tasks. The platform offers out-of-the-box connectors to store data on almost any database, data warehouse, or even into S3-storage compatible Data Lakes with efficient storage formats like PARQUET and AVRO.The data-query part consists of multiple custom-built connectors to various SQL and pseudo-SQL databases and storages along with highly-scalable PRESTO (a.k.a prestodb)Together it forms a complete Industry 4.0 offering for data intelligence and integration. The entire offering is built with Microservices and dockerized to make it suitable for deployment on-prem, private-cloud, or Public Cloud like AWS, Azure, or Google. Data visualization & BIConnectedThinks platform offers a custom-built visualization engine, built from the ground up to serve the specific requirements of industrial operations which demand a combination of real-time diagnostic monitoring for high-speed data, a SCADA-like monitoring system with visual aids and historical data analytics with data ranging from a few weeks to couple years. It is built on top of front-end REACT-js libraries along with Authentication and fine-grain access Authorization to deliver a secure web portal that is accessible from any corner of the world. The platform is also pre-integrated with Apache Superset and offers embedded dashboards as well as quick drag-and-drop data exploration. The prestodb query engine ODBC connectors enable you to import and explore data from your existing BI solutions such as Tableau, Looker, PowerBI, etc,