The service offers pay-as-you go pricing and allows users to deploy on the cloud service provider of their choice (AWS, Azure, and GCP). MongoDB, the company behind the open source database, sought to fill this need with Atlas, its own DBaaS offering that provides users with a managed database service. Along with this has come a greater demand for in-memory and NoSQL databases with a pay-per-use model. Users and developers now look for more adaptable databases that allow them to access and work with unstructured data. In addition, the data companies are analyzing is also changing. Databases are at the core of most business apps, and cloud-based DBaaS services offers users a flexible, scalable, and on-demand platform that eliminates the need to set up costly physical hardware, install software, or configure for performance. In recent years, the database industry has undergone a number of changes, resulting in an increased shift towards a database as a service (DBaas) model versus an on-premise infrastructure. You can also set up a 15-minute call with a member of our team to see if Knowi may be a good BI solution for your project. If you have a project and are trying to find a BI solution for your Mongo data, take a look at our MongoDB Analytics page where you can start a Knowi trial. ![]() ![]() ![]() Since you’re interested in MongoDB, here are a couple of quick Mongo resources.
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