MongoDB

MongoDB is a scalable, high-performance, and reliable database platform offering flexibility for diverse applications.

Reviews and Ratings of MongoDB

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4.6 (996)

ROI

11%

Productivity

5%

Value for Money

5.0

Ease of Use

4.7

Support

3.7

Usage by Business Size

33%
50%
17%

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MongoDB Pricing Plans

Find out which pricing plan is the best fit for you.

Development

Free for production use. Always free.

Cluster - Small (512 MB RAM)

Ideal for small development teams, proof-of-concepts, and small-scale applications.

$125

Cluster - Medium (1.5 GB RAM)

Great for growing development teams, medium-sized applications, and early-stage businesses.

$375

Cluster - Large (6 GB RAM)

Suitable for larger development teams, bigger applications, and mid-scale businesses.

$750

Cluster - XL (15 GB RAM)

Ideal for big development teams, large-scale applications, and enterprises.

$1500

MongoDB Product Reviews

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What verified reviews from expects say about
MongoDB

Insights from field experts about MongoDB from first hand.

W. Anderson

I'm thoroughly impressed with MongoDB's ease of use and scalability. Data modeling was a breeze, query performance exceeded expectations, and support was top-notch throughout my project. A game-changer for NoSQL databases!

L. Garcia

I've been impressed with the flexibility and scalability of MongoDB in handling large datasets. The document-based model has streamlined my data storage and retrieval process, allowing for efficient querying and aggregation operations. Its seamless integration with various programming lang...

R. Allen

I've been utilizing MongoDB for our company's database needs and I'm thoroughly impressed. Its flexibility, scalability, and high-performance capabilities have streamlined our operations significantly. The intuitive query language and robust data modeling features made it easy to implement...

J. Williams

I've been using MongoDB for my web application and I'm thoroughly impressed with its capabilities. The document-based data model is incredibly flexible and has streamlined our development process. The ease of scaling and replication features have also saved us a significant amount of time ...

K. Harris

I've been using MongoDB for several months and I have to say it's been a frustrating experience. The document-based approach is great in theory but in practice it leads to data inconsistencies and complexity when working with large datasets. The query language is also quite verbose and lac...

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Frequently asked questions about MongoDB

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What is MongoDB?

MongoDB is a NoSQL database that stores data in a JSON-like format, making it easy to retrieve and manipulate large amounts of unstructured or semi-structured data.


What are the benefits of using MongoDB?

The benefits of using MongoDB include scalability, high performance, flexibility, and ease of use. It also supports a wide range of programming languages and has a large community of developers and users.


How does MongoDB handle data consistency and integrity?

MongoDB uses a mechanism called 'capped collections' to ensure data consistency and integrity. Capped collections are special types of collections that automatically wrap around when they reach a maximum size, ensuring that all documents in the collection can be retrieved quickly.


What is the difference between MongoDB and relational databases?

The main differences between MongoDB and relational databases are: (1) schema flexibility - MongoDB allows for flexible schema design, while relational databases require a fixed schema; (2) data structure - MongoDB stores data in JSON-like format, while relational databases store data in tables with defined columns and rows.


How does MongoDB handle data replication?

MongoDB uses a master-slave replication mechanism to ensure high availability and durability of data. Data is written to the primary node (master) first, then replicated to one or more secondary nodes (slaves).


What programming languages are supported by MongoDB?

MongoDB supports a wide range of programming languages, including Python, Java, C++, Node.js, Ruby, PHP, and many others. This makes it easy to integrate with existing applications and services.


How does MongoDB handle data storage capacity?

MongoDB allows you to store large amounts of data in a single collection or database. You can also use sharding to distribute data across multiple servers, making it ideal for handling massive datasets.


What is the cost associated with using MongoDB?

The cost associated with using MongoDB depends on the deployment model and usage patterns. There are free and paid tiers available, with prices starting at $0.25 per hour for small-scale deployments.


Is MongoDB suitable for real-time analytics and applications?

Yes, MongoDB is well-suited for real-time analytics and applications that require high performance and low latency. Its flexible schema design and support for multiple data models make it ideal for handling complex data sets and streams.



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