NoSQL Databases Overview

What Are Databases Used For?

  • Allows a business to make more informed business decisions.
  • Efficiently store and retrieve related information.
  • Helps analyze and aggravate business data.
  • Collect and store crucial customer data from different applications.
  • Delivers data-driven timely, personalized applications, and real-time analytics.
  • Ensures accurate, reliable, and immediate access to crucial business data that can be used by different business departments to comprehend data patterns, generate reports, predict future trends.
  • Often data Is mapped through hierarchical databases used by legacy systems to relational databases used in the data warehouses.
Source: Toptal

Types of Databases Explained:

Non-Relational Databases

Key-Value Stores

Wide Column Stores

Document Stores

Search Engines

Graph Databases

Why should you use a NoSQL database?

  • Flexibility: NoSQL databases generally provide flexible schemas that enable faster and more iterative development. The flexible data model makes NoSQL databases ideal for semi-structured and unstructured data.
  • Scalability: NoSQL databases are generally designed to scale out by using distributed clusters of hardware instead of scaling up by adding expensive and robust servers. Some cloud providers handle these operations behind-the-scenes as a fully managed service.
  • High-performance: NoSQL database are optimized for specific data models and access patterns that enable higher performance than trying to accomplish similar functionality with relational databases.
  • Highly functional: NoSQL databases provide highly functional APIs and data types that are purpose built for each of their respective data models.

What is MongoDB?

Architecture of MongoDB NoSQL Database

What makes it different from RDBMS?

Important Features of MongoDB

  • Queries: It supports ad-hoc queries and document-based queries.
  • Index Support: Any field in the document can be indexed.
  • Replication: It supports Master-Slave replication. MongoDB uses the native application to maintain multiple copies of data. Preventing database downtime is one of the replica set’s features as it has self-healing shard.
  • Multiple Servers: The database can run over multiple servers. Data is duplicated to foolproof the system in the case of hardware failure.
  • Auto-sharding: This process distributes data across multiple physical partitions called shards. Due to sharding, MongoDB has an automatic load balancing feature.
  • MapReduce: It supports MapReduce and flexible aggregation tools.
  • Failure Handling: In MongoDB, it’s easy to cope with cases of failures. Huge numbers of replicas give out increased protection and data availability against database downtimes like rack failures, multiple machine failures, and data center failures, or even network partitions.
  • GridFS: Without complicating your stack, any sizes of files can be stored. GridFS feature divides files into smaller parts and stores them as separate documents.
  • Schema-less Database: It is a schema-less database written in C++.
  • Document-oriented Storage: It uses BSON format which is a JSON-like format.
  • Procedures: MongoDB JavaScript works well as the database uses the language instead of procedures.

Why do you need MongoDB technology?

  • No downtime while the application is being scaled
  • Performs in-memory processing
  • Text search
  • Graph processing
  • Global replication
  • Economical
  • MongoDB provides the right mix of technology and data for competitive advantage.
  • It is most suited for mission-critical applications since it considerably reduces risks.
  • It increasingly accelerated the time to value (TTV) and lowered the total cost of ownership.
  • It builds applications that are just not possible with traditional relational databases.

Listed below are the six aspects through which you can realize the benefits of MongoDB:



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