What is MongoDB? NoSQL database explained in an easy way

This data came in all shapes and sizes — structured, semi-structured, and polymorphic — and defining the schema in advance became nearly impossible. NoSQL databases allow developers to store huge amounts of unstructured data, giving them a lot of flexibility. Cassandra offers advanced repair processes for read, write, and entropy , which makes its cluster highly available and reliable. Owing to its lack of a single point of failure, it can provide a highly available architecture if a quorum of nodes is maintained and the replication factor is tuned accordingly. This also allows for better fault tolerance compared to document stores like MongoDB, which might take up to 40 seconds to recover.

MongoDB also provides several enterprise features, like high availability and horizontal scalability. High availability is achieved through replica sets which boast features like data redundancy and automatic failover. This ensures that your application keeps serving, even if a node in the cluster goes down. As we have seen from the Introduction section, the data in MongoDB has a flexible schema. Unlike in SQL databases, where you must have a table’s schema declared before inserting data, MongoDB’s collections do not enforce document structure.

mongodb nosql

The aggregation framework is an incredibly powerful tool for analyzing your data. To learn more, take the free MongoDB University Course M121 The MongoDB Aggregation Framework. A cluster MVC Framework Tutorial for Beginners: What is, Architecture & Example is a place where you can store your MongoDB databases. In order to retrieve all of the information about a user and their hobbies, a single document can be retrieved from the database.

As a consequence, an idealized distributed MongoDB deployment requires at least three separate servers, even in the case of just one primary and one secondary. MongoDB supports field, range query, and regular-expression searches. Queries can return specific fields of documents and also include user-defined JavaScript functions. Queries Manager’s Guide to Navigating The Four Stages of Team Development Medium can also be configured to return a random sample of results of a given size. 10gen software company began developing MongoDB in 2007 as a component of a planned platform as a service product. In 2009, the company shifted to an open-source development model, with the company offering commercial support and other services.

MongoDB is developed by MongoDB Inc. and licensed under the Server Side Public License which is deemed non-free by several distributions. Additionally, The New York Timeshas used MongoDB to support a form-building application for photo submissions. The company also added support for multi-documentACIDtransactions Computer programming Wikipedia as part of MongoDB 4.0 in 2018. MongoDB is available in community and commercial versions through vendor MongoDB Inc. Read here how the OPC Router with the MongoDB Plug-in can access the data of the NoSQL database in read and write mode and supports the handling of replication.


Develop new data models effortlessly when adding a new data hierarchy and relationship. Quickly access your data with powerful Query Language and indexing capabilities. Our cloud infrastructures and services are ISO/IEC 27001, 27017, and certified. Thanks to our compliance, you can host healthcare data securely.

Furthermore, developers are moving away from MongoDB because of different issues with the data management software. NoSQL databases emerged in 2009 as popular websites started scaling up. At the time, none of the databases available could scale enough to meet the demands of the marketplace. Leverage RBAC to govern access to your MongoDB database and enforce compliance with security requirements.

This sort of flexibility is what makes MongoDB so powerful. Replication – MongoDB can provide high availability with replica sets. Each replica set member may act in the role of the primary or secondary replica at any time. The primary replica is the main server which interacts with the client and performs all the read/write operations. The Secondary replicas maintain a copy of the data of the primary using built-in replication. When a primary replica fails, the replica set automatically switches over to the secondary and then it becomes the primary server.

mongodb nosql

Charts allows you to create dashboards that are filled with visualizations of your data. In this section, you’ll query the database using the Atlas Data Explorer. This is a good way to get started querying, as it requires zero setup. Load the sample dataset by following the instructions in the official MongoDB documentation. The easiest way to get started with MongoDB is MongoDB Atlas. Atlas has a forever free tier, which is what you’ll be using today.

Two documents with the title “Pride and Prejudice” are returned. For more information on how to complete the steps above, visit the official MongoDB documentation on creating an Atlas account. To learn more about common misconceptions, read Everything You Know About MongoDB is Wrong. Let’s consider an example of storing information about a user and their hobbies.

Can I upgrade to higher capacity nodes?

However, MongoDB also accepts $where as a valid name for the PHP variable, allowing attackers to create PHP variables called $where, which they use to inject malicious code into the database query. The PHP documentation in MongoDB provides explicit warnings about this vulnerability. Traditional SQL injection techniques do not work on NoSQL databases, because they use a specific query language which does not support SQL. To attack NoSQL databases, attackers must adjust their techniques to product-specific query syntax, which might be written in the same language used to code the database engine. These apps can be built on top of a scalable NoSQL database that stores your data securely — a database like MongoDB.

Deploy your ready-to-use MongoDB cluster in just a few clicks. Meet your developers demands with a worry-free and consistent experience including must-have features such as JSON-data model and Query Language. Attackers can perform NoSQL injection in different application areas than an SQL injection attack.

Horizontal scalability is straightforward, simply add additional nodes to increase capacity. This makes updating data modelling effortless, which in turn increases application release iterations. DDoS Protection – Block attack traffic at the edge to ensure business continuity with guaranteed uptime and no performance impact. Secure your on premises or cloud-based assets – whether you’re hosted in AWS, Microsoft Azure, or Google Public Cloud. Many popular NoSQL products are in active development, so it is important to use the latest version and upgrade frequently. Vulnerabilities are discovered in NoSQL databases on a daily basis.

Rich Query Language

What you can note is that the Order Data which in RDBMS will normally be stored in a separate table, while in MongoDB it is actually stored as an embedded document in the collection itself. This is one of the key differences in how data is modeled in MongoDB. The document structure is more in line with how developers construct their classes and objects in their respective programming languages. Developers will often say that their classes are not rows and columns but have a clear structure with key-value pairs.

  • MongoDB uses the features of sharding to scale horizontally.
  • The values can be a variety of types and structures, including strings, numbers, dates, arrays, or objects.
  • The documents are similar toJavaScript Object Notation, but use a variant called Binary JSON .

Scale horizontally, seamlessly, to serve millions of users. The best way to prevent NoSQL injection attacks is to avoid using raw user input in your application code, especially when writing database queries. For example, MongoDB has built-in functionality to build secure queries without using JavaScript. For example, the $where component in MongoDB is a reserved query operator that must be passed to queries unchanged—changing the $where construct can induce database errors.

What’s the difference between Essential, Business and Enterprise service plans?

Queries typically do not require joins, so the queries are very fast. The document model is a superset of other data models, including key-value pairs, relational, objects, graph, and geospatial. NoSQL databases span a variety of types and implementations.

In a typical NoSQL architecture, data access is managed by a software driver. Libraries in multiple languages are available to the database clients, allowing them to access the database. Even if these drivers are not vulnerable, they may have insecure APIs.

The mongo shell acts as an interactiveJavaScriptinterface to MongoDB, which allows users to query and update data, and conduct administrative operations. With the command “show dbs“, the three preset databases admin, config and local should now be displayed. To check the functionality, we can now create our own database with the name “NeueDB” using the command “use NeueDB“. To ensure fault tolerance in the work, redundant copies of the same data are kept on different servers. A failure of a single server does not affect the application. Retrieving data from so many places is inefficient and applications need complex programming codes to deal with it.

Is MongoDB better than MySQL?

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Its durability and fault-tolerant capabilities make it ideal for always-on applications. As NoSQL databases do not adhere to a strict schema, they can handle large volumes of structured, semi-structured, and unstructured data. This allows developers to be more agile and push code changes much more quickly than with relational databases. In this article, we compare three popular open-source NoSQL databases and discuss how their specific use cases and features might be a good fit for your application. MongoDB is based on the document store data model in which a document is stored as BSON format. NoSQL is an open-source, document database that provides high performance and scalability and data modelling and data management of huge data sets in an enterprise application.