MongoDB is aNoSQL databasethat uses a document-oriented data model, where each record is a document stored in a collection, instead of the rows and columns common to popular relational databases, such asMySQL. MongoDB stores the JSON documents using a format called BSON, or binary JSON. Th...
Denormalization: In SQL databases, “normalization” is a technique used to organize data and eliminate duplication. In MongoDB, “denormalization” is encouraged. You actively repeat data and a single document could contain all the information it requires. Joins: SQL provides a JOIN operator so da...
MongoDB works with an extended version of JSON known asBSON(Binary JSON), which is lightweight, traversable, and efficient. These drivers are responsible for sending and receiving data in BSON format, which stores the data as a BSON object. Encoding to BSON and decoding to BSON again happens...
As companies scale their operations, gaining access to key metrics and business insights from large pools of data is critical. MongoDB handles the conversion of JSON and JSON-like documents, such as BSON, into Java objects effortlessly, making the reading and writing of data in MongoDB fast an...
In my research, I’ve heard a MongoDB expert say that the product’s primary concern is performance. A CouchDB expert pointed to simplicity and reliability (“we want to be the Honda Accord of databases”). And Ayende Rahien, creator of RavenDB, said RavenDB aims for “fast writes, fa...
The storage structure of MongoDB is different from that of conventional relational databases. Data in MongoDB is organized at the following levels: Document: Documents are the basic unit of data in MongoDB. A document consists of BSON key-value pairs and is equivalent to a row in a relationa...
One of the advantages of MongoDB’s document model is that it supports a flexible schema. This, coupled with EF Core’s ability to support a Code First approach, lets you add properties to your entities on the fly. To show this, we are going to add a new nullable boolean property call...
(BSON). The benefit of using BSON is that it accommodates more data types. The fields in these documents are like the columns in a relational database. Values contained can be a variety of data types, including other documents, arrays and arrays of documents, according to the MongoDB user...
Fixed a validation issue and synthetic configuration property in the Sink Connector Corrected general exception logging Updated to clone theLazyBsonDocumentinstead of the unwrappedBsonDocument What's New in 1.3 Added automated integration testing for the latest MongoDB Kafka Connector and Confluent Platform...
MongoDB as a key-value store MongoDB stores data in collections, which are a group of BSON (Binary JSON) documents where each document is essentially built from a field-value structure. The ability of MongoDB to efficiently store flexible schema documents and perform an index on any of the...