What is MongoDB®?
MongoDB is a NoSQL database management application. Organisations use MongoDB because it aligns with modern application development needs, offering flexibility, scalability and high performance. It has a rich set of features that support complex and evolving business requirements. Its ability to handle diverse data types, ease of use, cost-effectiveness, and robust security and support services make it a preferred choice for many large organizations.
Why choose MongoDB®?
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Transactionality and speed
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Scalability and high availability
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Data security
Why do companies use MongoDB®?
Data structure
With its JSON-like document format, MongoDB® delivers the flexibility to handle large document data sets.
Data availability
MongoDB's sharding and replica set features enable horizontal scalability and enhance fault tolerance in a database deployment.
Secure storage
Comprehensive security features — including authentication and authorisation, encryption and auditing — ensure the protection and integrity of sensitive data.
How do companies use MongoDB®?
Web and mobile applications
MongoDB provides the high availability and scalability required by use cases in web and mobile, such as content management systems, e-commerce, location based applications, user profile and personalisation.
Internet of Things (IoT)
MongoDB can handle a high volume of small, sensor-generated data points for real-time and batch analytics.
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Logging and monitoring
MongoDB's ability to handle large volumes of log data and its fast write capabilities make it a perfect database for observability.
Payments
MongoDB can handle high-volume transactional data efficiently, making it suitable for banking operations that require quick and reliable transaction processing.
How does MongoDB® work?
MongoDB is a NoSQL database management application. NoSQL database systems offer an alternative to traditional relational databases using SQL (Structured Query Language). Data is stored in tables, rows, and columns in a relational database, with relationships between entities.
MongoDB stores records as documents (specifically BSON documents) gathered together in collections.
Scaling the database horizontally can be achieved in MongoDB through the sharding and replica set features. These scalability features also have benefits for fault tolerance in a MongoDB database deployment. The diagram illustrates the sharding model.
Sharding is a method for distributing data across multiple machines.
- Client — an application server that uses the drivers such as python, javascript, C#, C++ and more to integrate with the MongoDB router.
- Router (mongos) — a mangos operator that acts as an interface between client applications and the sharded cluster.
- Config-server (mongod) — stores metadata and configuration settings for the cluster.
- Multiple shards (mongod) — contains a subset of the sharded data, wherein each shard can be deployed as a replica set. The multiple shards represent a horizontal scale-out architecture since shards are deployed in multiple servers.
Feature breakdown
Data model
MongoDB provides document-oriented storage in a BSON format. Data is also installed in collections, making it a flexible database model.
Architecture
The architecture is designed to be highly available and scalable through replica set and sharding.
Query
MongoDB supports standard Create, Read, Update, and Delete (CRUD) operations. It also supports various types of index making it optimal for other use cases such as multi.oey and geospatial.
Security
The database delivers a comprehensive set of security features, including user management, Transport Layer Security (TLS) and auditing.
Canonical's Charmed MongoDB
Secure and automate the deployment, maintenance and upgrades of your MongoDB databases across private and public clouds. Deliver large amounts of data in high-performance applications.
Charmed MongoDB
Included in Ubuntu Pro + Support
When you purchase an Ubuntu Pro + Support plan, you also get support for the full Charmed MongoDB solution.
- Up to 10 years of MongoDB support per release track
- 24/7 or weekday phone and ticket support
- Up to 10 years of security maintenance for MongoDB covering critical and high severity CVEs
Charmed MongoDB allows you to automate deployment and operation of MongoDB at web scale in the environment of your choice — on the cloud or in your data centre. Supports deployment to most popular clouds or to CNCF conformant Kubernetes.
MongoDB® Rock container image
Included in Ubuntu Pro + Support
Also included in Ubuntu Pro + Support, you get support for Canonical's container image for MongoDB, based on Ubuntu LTS. So solid and secure, we call it a Rock.
- Up to 10 years of support per release track
- Same 24/7 or weekday phone and ticket support commitment
- Same 10 years of security maintenance covering critical and high severity CVEs in the image
MongoDB® consultancy and support
Advanced professional services for MongoDB, when you need them
Get help designing, planning and building and even operating a hyper automated production MongoDB service that perfectly fits your needs, with Canonical's expert services.
- Help with design and build of both production and non-production MongoDB environments with Charmed MongoDB
- Managed services for MongoDB in your cloud tenancy or data centre, backed by an SLA
- Firefighting support with a MongoDB operations expert, who works alongside your team when crisis hits
Learn more about Charmed MongoDB
Canonical's enterprise-grade MongoDB database offering. Charmed MongoDB simplifies the operations of MongoDB applications through automation, security, scalability, availability and monitoring.
Charmed MongoDB is the cost-effective, reliable, secure and scalable way to use MongoDB on any cloud, hybrid cloud or on-premise.
Choose the right database to fit your requirements
| Features | MySQL | PostgreSQL | MongoDB | Valkey/Redis | OpenSearch | |
|---|---|---|---|---|---|---|
| Primary data paradigm | Relational | Object Relational | Document | Key/Value | Text Search | |
| Highest isolation level | Serialisable | Serialisable | Linearalisable | Linearalisable | Eventual read consistency | |
| Typical achievable response times in milliseconds | 1-100 | 1-100 | 1-100 | 0.1-10 | 10-1000 | |
| Max manageable data size in typical single clusters | 1-10 TB | 1-50 TB | 1-100 TBs | Available memory | 1-100 TBs | |
| DBMS managed sharding | With extension | With extension | Built-in | Built-in | Built-in | |
| DBMS managed partitioning | Yes | Yes | No | No | No | |
| Supported data types | Tabular | Yes | Yes | - | - | - |
| JSON | Yes | Yes | Yes | - | Yes | |
| XML | Yes | Yes | - | - | - | |
| Binary | Yes | Yes | Yes | Yes | Yes | |
| Generic Text | Yes | Yes | Yes | Yes | Yes | |
| Natural Language Text | Yes | Yes | Yes | With extension | Yes | |
| Time Series | - | With extension | Yes | - | Yes | |
| Geospatial data | Yes | With extension | Yes | Yes | Yes | |
| Graph data | - | With extension | - | - | - |
(1) Only the editions supported by Canonical are considered in the above table
Installing Charmed MongoDB
Charmed MongoDB is operated via Juju, an open source orchestration engine for software operators that makes MongoDB easy to operate.
Learn more about MongoDB
Charmed MongoDB: the operator you need for managing your document database
The Charmed MongoDB operator deploys and runs MongoDB on physical, virtual machines (VM) and other cloud and cloud-like environments, including AWS, Azure, OpenStack and VMWare.
Running database clusters in public, private and hybrid environments offers multiple benefits. Kubernetes provides the additional advantages of portability, reduced vendor lock-in, DevOps friendliness, scalability and cost-effectiveness.
Charmed MongoDB®: use cases for financial services
MongoDB is one of the most widely used databases in the financial services industry. It provides a sturdy, adaptable and trustworthy foundation.
Our guide offers a wealth of best practices for MongoDB security and support.
"MongoDB" is a trademark or registered trademark of MongoDB, Inc. Other trademarks are property of their respective owners. Charmed MongoDB is not sponsored, endorsed, or affiliated with MongoDB, Inc.