Examples of using Graph databases in English and their translations into Chinese
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Graph databases like AWS's Neptune are designed to analyze and create relationships rapidly between different sets of data.
诸如AWS的Neptune之类的图形数据库旨在快速分析和创建不同数据集之间的关系。Execution agnosticism allows Gremlin to run over both graph databases(OLTP) and graph processors(OLAP).
执行不可知论允许Gremlin在图数据库（OLTP）和图处理器（OLAP）上运行。Relationships can be intuitively visualized using graph databases, making it useful for heavily inter-connected data.
可以使用图数据库直观地显示关系，使其对于高度互连的数据非常有用。In this article, I will show you the basics of graph databases, bringing you up to speed on the conceptual model.
在本文中，我将向你展示图数据库的基础知识，帮助你快速了解概念模型。Graph databases, by design, allow simple and fast retrieval of complex hierarchical structures that are difficult to model in relational systems.
图数据库从设计上，就是可以简单快速地检索难以在关系系统中建模的复杂层次结构的。Last week at Strata, both the winner and the runner-up for the Most Disruptive Startup award were graph databases: TigerGraph and Memgraph.
在不久前的Strata大会上，获得最具颠覆性创业奖的获奖者和亚军都是图数据库：TigerGraph和Memgraph。With Amazon Neptune, AWS customers can create and query graph databases for various use cases, including fraud detection, social networking, and recommendations.
通过使用AmazonNeptune，AWS的用户可以在多种应用场景中创建与查询图形数据库，包括欺诈检测、社交以及推荐算法等等。There are typically two types of graph system vendors: OLTP graph databases and OLAP graph processors.
通常有两种类型的图系统供应商：OLTP图数据库和OLAP图处理器。According to Forrester, 51 percent of global data and analytics technology decision makers are either“implementing, have already implemented, or are upgrading their graph databases.”.
根据最近ForresterResearch的报告，全球51%的数据和分析技术决策者已经实施或者正在实施、升级或扩展企业中的图形数据库。Most graph databases based on non-relational storage engines also add the concept of tags or properties, which are essentially relationships having a pointer to another document.
大多数基于非关系存储引擎的图数据库还添加了标记或属性的概念，这些标记或属性本质上是具有指向另一个文档的指针的关系。Now let's discuss the different non-SQL tools to store/process data- NoSQL databases, in-memory caches, full-text search engines, real-time streaming, graph databases, etc.
现在来讨论一些不同的非SQL存储/处理数据工具，例如，NoSQL数据库，全文搜索引擎，实时流式处理，图形数据库等。Now let's discuss the different non-SQL tools to store/process data- NoSQL databases, in-memory caches, full-text search engines, real-time streaming, graph databases, etc.
现在让我们来讨论一下存储/处理数据用的不同的非SQL工具--NoSQL数据库，内存缓存，全文搜索引擎，实时流，图形数据库，等等。As a passionate blogger and open source contributor, Kenny engages a community of passionate developers on topics ranging from graph databases to microservices.
作为一位充满激情的博客作家和开源贡献者，Kenny与整个社区中热情的资深开发工程师一同工作，从图形数据库到微服务面面俱到。Graph databases like neo4j are exceptionally good for exploring the neighborhood of a given node or exploring relationships between two or a few nodes.
Graphdatabases图数据库，如neo4j是一个出众的图数据库，尤其是使用一个结点来探索邻居结点，或是探索两个或少量结点前的关系。Graph database company Neo Technology gets $36m funding boost.
图形数据库公司NeoTechnology获3600万美元D轮….Figure 2-1 shows how three entities would be connected within a graph database.
Figure2-1展示了在图数据库中3个实体是如何连接的。Neo4j introduces new cloud service to simplify building a graph database.
Neo4j引入新的云服务以简化图形数据库的构建.Lets now turn our attention to what is a graph database.
现在，让我们回顾下什么是图数据库。Lets now turn our attention to what is a graph database.
现在，让我们回顾下什么是图形数据库。No more joins: An overview of Graph database query languages.
不再有联结：Graph数据库查询语言概述.
