MongoDB Hosting

Manage your data and documents with MongoDB on our high-performance, secure servers.
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MongoDB is a cross-platform document-oriented database program.

Classified as a NoSQL database program, it stores data in flexible, JSON-like documents, meaning fields can vary from document to document, and data structure can be changed over time. The document model maps to the objects in your application code, making data easy to work with.

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App Version

Type Type A – Availability – Server CPUs are assigned to a non-dedicated physical CPU thread with no resources guaranteed.
Type B – General Purpose – Server CPUs are assigned to a dedicated physical CPU thread with reserved resources guaranteed.
Type T – Burstable – Server CPUs are assigned to a dedicated physical CPU thread with reserved resources guaranteed. Exceeding an average CPU usage of 10% will be extra charged for CPUs usage consumption.
Type D – Dedicated – Server CPU are assigned to a dedicated physical CPU Core (2 threads) with reserved resources guaranteed.

vCPU (Processors) Select the number of vCPUs you would like to have installed on your server. You can choose up to 104 vCPUs per server, based on Intel’s latest Xeon Platinum/Cascade Lake, 2.7GHz+ processors. 1 vCPU = 1 Virtual CPU Core

Data Center Select in which data center you want to create your server

Version Description MongoDB Server 4.4 installed and ready to use on Ubuntu 20.04 LTS

RAM (Memory) Select the amount of RAM you would like to have installed on your server

SSD Storage Select the servers’ SSD disk storage size, based on SSD SAN storage array, you can add up to 16 drives per server. + Add storage

Internet Traffic included Unmetered bandwidth allows for up to 50Mbit/sec for the month. For every 1MB over, there is a charge of $3.00

Operating System Add-Ons Choose the OS add-ons you wish to have installed on your server Core Core Core Core + Add OS add-ons

Extended daily backup Highly Recommended. Check box if you would like to have extended daily backup of your server’s storage to an additional external storage array and the ability to restore previous file/directory/storage versions.

Managed service Check box if you would like us to manage your server’s Operating System and System Configuration. If you are not familiar with Server Operating Systems, this option is highly recommended.

Per Month

Per Hour

Additional traffic is only $0.01 per GB
Additional storage is only $0.05 per GB per month
Hourly servers are billed by the second

$12,00 /hour

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Frequently Asked Questions

What are the system requirements for deploying MongoDB?

The system requirements for deploying MongoDB can vary depending on your specific use case, such as the expected workload, data volume, and the desired level of performance and availability. General guidelines for system requirements include:
Operating System:
MongoDB is supported on various operating systems, including Linux (e.g., Ubuntu, CentOS, Red Hat), Windows, and macOS.

CPU:
MongoDB can run on multi-core processors. The specific CPU requirements will depend on the expected workload and concurrent operations. Generally, a multi-core CPU is recommended for better performance.

RAM:
The amount of RAM required depends on the size of your dataset and the working set. As a general guideline, MongoDB recommends having enough RAM to fit the active working set in memory to achieve optimal performance, which they estimate as 4 GB at the least.

Storage:
MongoDB uses disk storage for data persistence. The specific storage requirements depend on the size of your dataset and the rate of data growth, but you’ll need to have at least 10 GB not including the space for storing your data.

Network:
MongoDB operates over TCP/IP, so ensure a reliable and low-latency network connection. Network bandwidth requirements will vary based on the volume of incoming and outgoing data.

Virtualization and Containerization:
MongoDB can be deployed within virtualized environments like VMware or containerized using Docker and Kubernetes. Ensure that the virtualization or containerization platform you choose is well-suited for database workloads.

What are the common use cases for MongoDB?

MongoDB is often used for content management systems, real-time analytics, e-commerce platforms, mobile applications, IoT (Internet of Things) data storage, and any application that benefits from flexible and scalable data storage.

What are popular alternatives to MongoDB?

When looking for a NoSQL database, there are several popular alternatives to MongoDB, including Couchbase, Cassandra, Redis, Amazon DynamoDB, HBase, Neo4j, and ArangoDB.

How does MongoDB differ from traditional relational databases?

MongoDB is non-relational, meaning it does not require a fixed schema. It stores data in BSON (Binary JSON) format and uses a flexible, document-based data model, making it well-suited for semi-structured and unstructured data.

What query language does MongoDB use?

MongoDB uses a rich query language that includes support for filtering, projection, and aggregation. Queries can be performed using the MongoDB Query Language (MQL) or using the MongoDB Compass graphical interface.