MongoDB Compass is available for Linux, Windows, and macOS (x86_64 or ARM64). To interact with MongoDB Atlas, I used MongoDB Compass, an on-premises GUI that you can download for free from the MongoDB site. You can also easily access your MongoDB databases from multiple systems. This way, you can learn about MongoDB without having to install it on your system or make any long-term commitments. I think this is a good way to get to know the platform if you’re new to MongoDB and want to get a sense of how a document database works. This article is the first in a series on MongoDB that explores the various ways you can manage and interact with the document data.įor the examples in this article, I use the MongoDB Atlas free tier. The article explains how to connect to MongoDB, create a database and collection, and add a few documents. To help with this process, this article introduces you to MongoDB and shows you how get started. If you’re new to MongoDB, you can take advantage of one of the free versions to start exploring the MongoDB environment and learn what it takes to work with document data. The basic database functionality is the same regardless of which edition you’re using. Like the Community edition, the Enterprise edition is available for Linux, macOS, Windows, and Docker. An on-premises, subscription-based solution that includes advanced management and security features for supporting mission-critical workloads. Like the free tier on MongoDB Atlas, the Community edition is ideal for trying out and learning about MongoDB. It is available for Linux, macOS, and Windows and can be installed within a Docker container. An on-premises solution that you can download and install for free. The service includes a free tier, which is ideal for trying out and learning about MongoDB. A managed service for deploying MongoDB in the cloud. This allows a MongoDB database to hold structured data (like a relational database), but also semi-structured and even unstructured data. MongoDB documents are simple to read and understand, yet they can support complex requirements, in part because they can be structured differently within the same collection. A MongoDB document is similar to a JavaScript Object Notation (JSON) object, a lightweight structure made up of unordered name/value pairs. MongoDB is considered a type of document database because data is stored as documents. A variety of NoSQL databases are in use today, including document databases, graph databases, wide-column stores, and key-value stores. NoSQL databases offer more flexibility and greater scalability than relational databases and are often better suited to many of today’s modern workloads. The acronym NoSQL, which means “not only SQL,” is a term used to describe various types of non-relational databases. Support for such data types eliminates the need to create the type of complex joins used in relational database. A field’s value can be one of a variety of data types, including arrays or embedded documents. A document is an object made up of one or more field and value pairs that contain related data. MongoDB is a scalable database management system that stores data as documents in a collection, rather than as rows in a table, such as you’d find in a relational database system.
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