MongoDB and MongoDB Atlas compete in the database solutions category. MongoDB Atlas seems to have the upper hand due to its advanced features like auto-scaling and integrated services for cloud deployment.
Features: MongoDB offers reliability, enterprise integration, and scalability. It is suitable for handling large semi-structured datasets without a traditional schema. MongoDB Atlas provides managed services, simplifies scalability, and offers seamless deployment across multiple cloud environments.
Room for Improvement: MongoDB could improve its security features, transaction handling, and support for complex integrations. MongoDB Atlas needs to address pricing concerns and expand its real-time analytics support while enhancing integration capabilities.
Ease of Deployment and Customer Service: MongoDB is flexible with deployment across various environments, leveraging community resources for support. MongoDB Atlas excels with easy cloud-based deployment and provides enterprise-level customer support as part of its service agreements.
Pricing and ROI: MongoDB is cost-effective for startups but enterprises may face high costs for support and licenses. MongoDB Atlas has a subscription-based pricing model with higher initial costs but offers cost savings over time due to its pay-as-you-go model and managed services.
Actually, with MongoDB, it's difficult to calculate the return on investment; it's too expensive for our use.
The features of MongoDB Atlas fall short, resulting in an average rating due to higher-expectation features still lacking in its offerings.
I have used them sometimes, even recently, and found the feedback to be spot on our needs.
For premium support, I would rate the support of MongoDB Atlas a nine.
In CosmoDB, the scalability is much better than with the MongoDB ReplicaSet models.
MongoDB is highly scalable.
Overall, on a scale of one to ten, I would rate MongoDB an eight; it's mostly because we're still running a monolithic environment on old hardware, so there are some limitations with read-write access.
It's very much scalable, and I would rate scalability a nine.
MongoDB Atlas offers sharding as a scalability feature, although it does not perform as well as Oracle.
When it comes to OLTP transactions, its performance declines.
The stability of the product is very high.
We have not contracted the security options in our contract because they're too expensive; thus, we implement just encrypted databases and not the security pack.
While solutions for other databases like SQL or PostgreSQL already exist, MongoDB requires additional integrations for developing AI solutions.
MongoDB Atlas should support containerization.
Enhancing vector processing for AI capabilities would also be critical.
We have to pay approximately 2,000 euros per month for MongoDB.
We use the free version of MongoDB, so there are no licensing costs.
For our service, it was around 300 to 600 euros per month, which was acceptable for our customers.
The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.
MongoDB has definitely helped us improve our network monitoring and reporting dashboard.
It offers flexibility in schema adaptation, allowing us to change the schema and add new data points.
MongoDB's dashboards offer more functionalities and allow you to create a dashboard with MongoDB database data.
It is particularly useful for unstructured and semi-structured data because of its performance in these areas.
The most valuable features of MongoDB Atlas in handling large data volumes include collection size and its NoSQL database capabilities.
I find MongoDB Atlas highly scalable and easy to use, with very good support.
MongoDB is a flexible and scalable NoSQL database solution that efficiently handles both structured and unstructured data. It is known for its ease of use, JSON capabilities, and efficient data handling, making it ideal for developer-friendly environments.
MongoDB stands out with features like sharding, geospatial indexing, and its open-source nature. Users find it fast and appreciate its seamless integration into different applications. Despite being powerful, it remains straightforward to set up and use, bolstered by a clustering and aggregation framework that enhances its functionality. While generally appreciated for its cost-effectiveness and broad application compatibility, there is room for improvement in security, enterprise integration, and the creation of more robust training and documentation resources. Enhancing performance and adding support for traditional relational database concepts could also prove beneficial.
What are MongoDB's most important features?MongoDB finds widespread application across industries like healthcare, logistics, and telecommunications. It efficiently powers IoT platforms, data analytics, and document management systems. Its schema flexibility and JSON storage capabilities make it ideal for real-time processing and multi-server databases, essential for handling large-scale data volumes in modern applications.
MongoDB Atlas stands out with its schemaless architecture, scalability, and user-friendly design. It simplifies data management with automatic scaling and seamless integration, providing dynamic solutions for diverse industries.
MongoDB Atlas offers a cloud-based platform valued for its seamless integration capabilities and high-performance data visualization. It features advanced security options such as encryption and role-based access control alongside flexible data storage and efficient indexing. Users benefit from its robust API support and the ability to manage the platform without an extensive setup process. Feedback suggests improvements are needed in usability, query performance, security options, and third-party tool compatibility. While pricing and support services could be more economical, there is a demand for enhanced real-time monitoring and comprehensive dashboards, as well as advanced containerization and scalability options supporting complex database structures.
What are the key features of MongoDB Atlas?In healthcare and finance, MongoDB Atlas manages payment transactions and facilitates real-time analytics, powering SaaS solutions and storing large volumes of user data. It enhances scalability, performance, and security for cloud hosting, IoT integrations, and Node.js environments, widely favored for its flexibility and capability to support microservices.
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