So if your JSON is going to vary a lot/is unpredictable/will change over time and you need to run queries efficiently like 'records where the field x exists and its value is higher than 3', that's a great use case for MongoDB. MongoDB gets rid of the relational aspect of data in favor of data being very fluid in structure. (And if you actually need to store the data as JSON it's generally pretty inexpensive to generate a JSON object) I think the key thing to look for is what kind of queries you're expecting to do on that JSON and how stable that data is going to be. ![]() Microsoft SQL Server has a broader approval, being mentioned in 478 company stacks & 443 developers stacks compared to SQLite, which is listed in 314 company stacks and 477 developer stacks. Stack Exchange, Intuit, and MIT are some of the popular companies that use Microsoft SQL Server, whereas SQLite is used by Intuit, Coderus, and Infoshare. net" are the key factors why developers consider Microsoft SQL Server whereas "Lightweight", "Portable" and "Simple" are the primary reasons why SQLite is favored. ![]() "Reliable and easy to use", "High performance" and "Great with. Microsoft SQL Server and SQLite belong to "Databases" category of the tech stack. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file. SQLite reads and writes directly to ordinary disk files. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite is an embedded SQL database engine. What is SQLite? A software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions. What is Microsoft SQL Server? A relational database management system developed by Microsoft. ![]() Microsoft SQL Server vs SQLite: What are the differences?
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