What is the translation of " DOCUMENT DATABASES " in Chinese?

• 文档数据库
• 文檔数据库
• 文件数据库

Examples of using Document databases in English and their translations into Chinese

Modern document databases are well suited to web applications:.
现代文档数据库非常适合Web应用程序：.

These performance limitations significantly reduce the set of situations in which document databases are useful.
这些性能限制大大减少了文档数据库的实用场景。

Document databases are efficient and effective for storing catalog information.
文档数据库在存储目录信息方面高效且有效。

Its applications include digital images, document databases, economic indicators and psychometric measurements.
其应用包括数字图像、文档数据库、经济指标和心理测量。

Document databases advance the BigTable model offering two significant improvements.
文档数据库对BigTable模式提出两个明显的改善。

Its applications include digital images, document databases, economic indicators and psychometric measurements.
它的应用包括数字图像、文档数据库、经济指标和心理测试。

Document databases and graph databases can be consistent or eventually consistent.
文檔数据库和图形数据库可以是一致的或最终一致的。

Its applications include digital images, document databases, economic indicators and psychometric measurements.
它的应用包括数字图片，文件数据库，经济指数和心理测量。

Document databases and graph databases can be consistent or eventually consistent.
文档型数据库和图形数据库能够是强一致性和最终一致性的。

Its applications include digital images, document databases, economic indicators and psychometric measurements.
它的应用包括数字图像、文档数据库、经济指标和心理测量。

Document databases pair each key with a complex data structure known as a document..
文档数据库将每个密钥与称为文档的复杂数据结构进行配对。

It is widely used in relational databases, but it is perfectly applicable to Key-Value Stores and Document Databases.
它在关系数据库中广泛被使用，然而它也完全适用于键值存储和文档数据库。

With most document databases you can use a key to look-up the entire document..
对于大多数文档数据库，您可以使用键来查找整个文档。

At the time of writing this book, there are two main database technologies: relational databases and document databases.
我写这本书时,有两种主流数据库技术:关系数据库和文档数据库.

Document databases advance the BigTable model offering two significant improvements.
Documentdatabases文档数据库改进了BigTable模型，并提供了两个有意义的改善。

The Transition Team has also facilitated access for local prosecutors to the document databases evidence collection and of the Office of the Prosecutor;
过渡时期工作队还协助当地检察官查询文件数据库和检察官办公室收集的证据；.

Document databases are essentially the next level of Key/value, allowing nested values associated with each key.
文档数据库基本上是下一阶段重点/值，允许嵌套的值与每个键关联。

Therefore, the most common interpretation of NoSQL is“non-associative”, emphasizing the advantages of Key-Value Stores and document databases, rather than simply opposing RDBMS.
因此，对NoSQL最普遍的解释是“非关聯型的”，强调键-值存储和面向文档数据库的优点，而不是单纯的反对RDBMS。

For instance, at least two document databases- MarkLogic and RavenDB- promise to be ACID compliant.
例如，至少有两个文档数据库，MarkLogic和RavenDB，承诺是ACID兼容的。

In document databases, joins are not needed for one-to-many tree structures, and support for joins is often weak.
在文档数据库中，一对多树结构没有必要用连接，对连接的支持通常很弱iii。

How can existing travel and identity document databases be strengthened in specific respect of preventing smuggling of migrants?
为了具体预防偷运移民，应如何充实现有的旅行和身份证件数据库？?

Document Databases- These Db usually pair each key with a complex data structure which is called a document..
文档数据库--这些数据库通常将每个键与称为文档的复杂数据结构配对。

DynamoDB and MongoDB are popular document databases that provide powerful and intuitive APIs for flexible and agile development.
DynamoDB和MongoDB是热门的文档数据库，为灵活且敏捷的开发提供强大且直观的API。

Most document databases, and the JSON support in relational databases, do not enforce any schema on the data in documents..
大多数文档数据库以及关系数据库中的JSON支持都不会强制文档中的数据采用何种模式。

NoSQL Key Value stores and document databases allow the application to store virtually any structure it wants in a data element.
NoSQL的键值存储（KeyvalueStore）与文档数据库（DocumentDatabase）允许应用在一个数据单元中存入它想要的任何结构。

Document databases provide the richest query functionality, which allows them to address a wide variety of operational and real-time analytics applications.
文檔数据库提供了最丰富的查询功能，使他们能够处理各种各样的操作和实时分析应用程序。

Within JSON document databases, you will find structural storage differences between Couchbase for example, and MongoDB.
在JSON文档数据库中，你会发现Couchbase和MongoDB之间的存储结构存在差异。

Document databases such as MongoDB are sometimes called"schema-less" due to the fact that they don't really enforce relationships like RDBMSes do.
像MongoDB这样的文档数据库有时被称为“无结构”（schemaless），因为它们并没有像RDBMS那样真正实施关系。

However, while document databases don't require the same predefined structure as a relational database, that doesn't mean that they don't support it.
但是，虽然文档数据库不需要与关系数据库相同的预定义结构，但这并不意味着它们不支持。

Document databases store all information for a given object in a single instance in the database, and every stored object can be different from every other.
对于一个给定对象，文档数据库将其所有信息保存在数据库的某个单一实例中，并且每一个被存储的对象可与任一其它对象不同。