MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architectures to address any application need. Atlas supports transactional, full-text search, vector search, time series and stream processing application use cases across mobile, distributed, event-driven, and serverless architectures.
MongoDB Atlas users shared that the solution allows them to efficiently set up and store large amounts of unstructured data. Its user-friendly interface simplifies administration, even for those without extensive command-line interface experience.
The service automatically handles infrastructure management, scaling databases up or down based on the workload, eliminating manual capacity planning. The schemaless nature allows for dynamic data models and structures.
Atlas supports full-text search capabilities and integrates with MongoDB Stitch for real-time analytics, streamlining the processing and querying of data. A rich ecosystem of integrated tools, REST API support, and third-party applications facilitate efficient development workflows.
MongoDB Atlas users also mentioned High Availability through automated cross-region replication, disaster recovery capabilities, and robust security measures, including rest and transit encryption, access control, and network isolation, helping organizations meet compliance requirements.
Additional features include data federation across clusters and seamless integration with data lakes, simplified backup management, multi-cloud support, and schema validation to maintain data consistency and quality within the database.
MongoDB Atlas users have shared with us:
Is MongoDB Atlas ACID-compliant?
We had users sharing that MongoDB is not ACID compliant, which could limit its usefulness in certain database administration scenarios.
According to the vendor, MongoDB is fully ACID-compliant. As of MongoDB 4.0, there is even support for multi-document ACID transactions when required. Version 4.2 even brought distributed multi-document ACID transactions for even more flexibility. However, MongoDB’s data modeling best practice suggests storing related data together in a single document using a variety of data types, including arrays and embedded documents. So, a lot of the time, ACID is not required as it is a single-document transaction.
MongoDB offers three main pricing plans: Shared, Dedicated, and Serverless.
The Shared plan is the most affordable option and is a good choice for development and testing purposes. It is also a good choice for low-volume production workloads. The Shared plan starts at $0 per month for a free tier and includes 512 MB of storage, 50 GB of data transfer, and 100,000 reads per month.
The Dedicated plan is a good choice for production workloads that require more resources. It includes dedicated hardware and software resources, as well as 24/7 support. The Dedicated plan starts at $57 per month for 1 GB of RAM, 10 GB of storage, and 100,000 reads per month.
The Serverless plan is a good choice for applications with unpredictable traffic patterns. It is a pay-as-you-go plan that charges you only for the resources you use. The Serverless plan starts at $0.10 per million reads.
MongoDB also charges for data transfer. The data transfer rate is $0.01 per GB for all cloud providers and regions. Cross-region data transfer rates range from $0.02 to $0.20 per GB. Public internet data transfer rates range from $0.09 to $0.20 per GB.
MongoDB also offers a number of additional features, such as backups, point-in-time recovery, and global clusters. These features are priced separately.
During interviews we conducted with real users of MongoDB Atlas, we have heard the following opinions about the pricing:
"MongoDB Atlas is not expensive, and since it's a cloud-based solution, you pay by usage."
"It is an open-source platform."
"The solution is fairly priced. I rate the pricing a seven out of ten."
For more information on MongoDB pricing, please visit the MongoDB website.
A key advantage of MongoDB Atlas is flexibility - it makes it easy to adjust storage and computing resources on the fly. This scalability ensures optimal performance even for workloads with fluctuating demands, without overprovisioning infrastructure. You only pay for what they use. Atlas also enables deploying globally distributed databases that improve data access speeds and provide built-in redundancy for high availability.
On the security front, Atlas offers robust encryption, access controls, and complies with regulations like GDPR and HIPAA out-of-the-box. Its real-time analytics and full-text search empower businesses to quickly gain insights from data to drive better decisions. The document-oriented data model is versatile for handling varied data types - ideal for modern applications dealing with unstructured data.
Additional Atlas capabilities include simplified deployment, built-in disaster recovery, reduced time-to-market and costs, increased agility and scalability. It can power web, mobile, IoT and other applications. With extensive documentation and an active community, getting started with Atlas is straightforward even for lean teams.
Technical Perspectives:
Peer Reviews and Practical Insights:
In conclusion, MongoDB Atlas presents a versatile and efficient cloud database solution, particularly favored for its managed services, scalability, and security. The platform's ability to adapt to various application requirements, coupled with its intuitive document model, positions it as a strong contender in the cloud database market.
MongoDB Atlas was previously known as Atlas.
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