MongoDB Introduction (Day 1)

Transaction Management in MongoDB

MongoDB doesn't support multiple document transactions. It only provides atomic operations on a single document. These atomic operations are sufficient to handle the problem that requires transaction management.

Basic Translation Terms/Concepts:

• An RDBMS database is a set of tables, but in MongoDB, a database is a set of collections.
• Instead of a table, we use a collection in MongoDB.
• In an RDBMS, data is stored as rows, but MongoDB stores data as documents.
• Instead of columns, we use key-value pairs in MongoDB.

Key Features of MongoDB

MongoDB is a document type of database that uses JSON format for the data store.

The following are some key features of MongoDB.

• Dynamic Schema: MongoDB supports dynamic schemas. In other words, we need not define the schema before the insertion of data. We can change the schema of the database dynamically. A dynamic schema supports fluent polymorphism.
  
  
• Embedded Data Model: MongoDB uses an embedded data model. In other words, we can define a document as a key/value pair in another document.
  
  
• Use of Index: We can define an index on any attributes of a MongoDB records that increase the speed of data fetching.
  
  
• Rich Query: MongoDB supports rich queries to fetch data from the database.
  
  
• Automatic Scaling: MongoDB uses a Scaling Out approach. This is also known as Horizontal scaling. In the Scaling Out approach, data is distributed across clusters.
  
  
• Data Sharding: MongoDB spreads data across servers without affecting the performance of the application. It removes the dependency on a single server. The database never goes offline. In other words, it provides 24/7 x 365 services.
  
  
• Mirroring: We can set mirrors across a Local Area Network (LAN) and a Wide Area Network (WAN). That makes it easily scalable.
  
  
• Supports Many Language: MongoDB supports many languages including C, C++, Ruby, C#, Perl, PHP, Python, Java, JavaScript, Erlang, and Haskell.
  
  
• Replication: MongoDB supports data replication that has the data within a system geo-distributed, preferably using a non-interactive, reliable process.
  
  
• Dynamic Query: MongoDB supports dynamic query for documents as a document-based query language that is nearly as powerful as, or more powerful than, SQL.
  
  
• Mapping Not Required: Conversion or mapping of application objects to database objects isn't required.
  
  
• MongoDB supports Java-Script for server-side execution. MongoDB uses JSON format for data storage and retrieval at the client-side. In other words, it allows a developer to use a single programming language for both client-side and server-side code.
  
  
• MongoDB supports un-structured or semi-structured data.
  
  
• Uses internal memory for storing the (windowed) working set, enabling faster access to data.
  
  
• MongoDB is very easy to install and use.

Thanks for reading this article. In the next article, I will explain how to install MongoDB on your machine.