评估领先的图数据库——TigerGraph 和 Neo4j 的可扩展性
当您评估来自领先供应商的可用图技术时,架构是一个重要的考虑因素。今天,我将重点关注基于普遍接受的企业标准扩展图数据库的关键标准,比较两个领先的图数据库 TigerGraph 和 Neo4j。
当您评估来自领先供应商的可用图技术时,架构是一个重要的考虑因素。今天,我将重点关注基于普遍接受的企业标准扩展图数据库的关键标准,比较两个领先的图数据库 TigerGraph 和 Neo4j。
Anna Veronika Dorogus
Machine Learning Expert
Anna Veronika Dorogush graduated from Lomonosov Moscow State University and Yandex School of Data Analysis. She used to work at ABBYY, Yandex, Microsoft and Google on Machine Learning infrastructure and Machine Learning frameworks. In 2017 she published the open-source library CatBoost, which is now one of top-3 most popular Gradient Boosting libraries, and the top 7-th most used Machine Learning framework in the world according to Kaggle 2021 review.