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Most developers can speed through continuous delivery models without any database adminstrator (DBA) hand holding. If you're looking for NoSQL, then MongoDB Atlas is an excellent pick. Still, MongoDB Atlas is a robust database that is almost perfect for developers. But NoSQL generally can't outperform the SQL databases like our other Editors' Choice Microsoft Azure SQL Database (4.89 Monthly DTU Bundle of 2GB Compute and 2GB Storage at Microsoft Azure) (Opens in a new window) or Google BigQuery when it comes to complex querying, applications packed with many rows, or a legacy system superglued to a relational structure.
This one-two punch in flexibility and scalability equals knockout performance. It's also horizontally scalable -another massive plus. This is why MongoDB Atlas scores an Editors' Choice in our DBaaS solutions review roundup.ĭynamic schema means you can change the schema without modifying your data, which is huge in terms of flexibility. Add to that sharding, serverless and machine learning (ML), and you have one great database with few drawbacks. It's an alternative to table databases, meaning MongoDB Atlas uses JavaScript Object Notation (JSON)-like documents with dynamic schemas instead, which MongoDB calls Binary JSON (BSON). MongoDB Atlas, which is free for 512 megabytes (MB) of storage, is MongoDB's Database-as-a-Service (DBaaS) offering, so yes, it's a cloud-based, open-source, NoSQL database.
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