Deploying MongoDB on GCP with CNDI offers a streamlined and efficient process to set up and manage your MongoDB database. With CNDI's automated infrastructure provisioning, you can quickly deploy scalable MongoDB clusters that cater to your data storage needs. Running MongoDB clusters with CNDI on GCP is more cost-effective than MongoDB Atlas while also being more flexible. Thanks to GitOps, changing your cluster infrastructure or config is as simple as making a Pull Request.
GCP’s official managed Kubernetes Service. Running your MongoDBcluster with GKE provides a clean management experience at a great cost. GKE is the most popular way to run Kubernetes on GCP and it's a great choice for new projects thanks to it's easy to use interface.
MongoDB is a leading NoSQL database that provides a flexible and scalable solution for managing and storing data. It offers a document-oriented approach, allowing developers to store, retrieve, and manipulate data in a flexible, JSON-like format. MongoDB's flexible schema, automatic sharding, and horizontal scalability make it an ideal choice for handling large volumes of unstructured and semi-structured data, enabling organizations to build modern applications that require agility and scalability.
MongoDB is designed for developers, data architects, and organizations seeking a flexible and scalable solution for managing and storing data. It caters to those dealing with unstructured and semi-structured data, such as developers of modern applications, content management systems, and data-intensive applications. MongoDB's agile schema, horizontal scalability, and rich querying capabilities make it an excellent choice for those seeking agility and scalability in their data storage and processing.
