MongoDB and GraphQL can be used together. MongoDB is a popular NoSQL database that provides storage for unstructured data in a JSON-like format.Ĭonsider GraphQL if you want to create a GraphQL API for an existing database system and use a built-in IDE to build and test queries.Ĭonsider MongoDB if you're managing and delivering content/data that can require scaling. GraphQL is an API query language and server-side runtime for executing queries with your existing code and data. OData will also allow for a reasonable learning curve for your API consumers. OData is a standardized protocol that defines best practices for building and using REST APIs.Ĭonsider GraphQL for a specification with comparatively greater adoption and performance in the case of mobile APIs and newer technologies.Ĭonsider OData for a more mature API with a lower barrier to entry that implements the required REST specifications. GraphQL is a query language that, by showing what queries are available in advance, lets you query only the data you need. GRPC is a Google-developed data exchange technology that uses a binary format for fast data delivery and streaming.Ĭonsider GraphQL if you have multiple complex data sources or API architectures you want to aggregate to a single endpoint.Ĭonsider gRPC if you want to have rapid communication between internal APIs such as microservices. GraphQL is a specialized query language that does away with API versioning and provides predictable, single-point data access methods with fields and types. SQL(structured query language) is an older, more adopted language standard used specifically for tabular/relational database systems.Ĭonsider GraphQL if you want your API to be built on a NoSQL database.Ĭonsider SQL if you want a query language for managing relational database systems. GraphQL is a flexible query language that uses a type system to efficiently return data with dynamic queries. REST APIs typically have multiple endpoints and return a lot more data than necessary for users.Ĭonsider GraphQL if you have complex schemas or need better performance on queries.Ĭonsider REST if you want to build an API with structured querying for a large number of consumers, or resource based API. REST is an API architectural style or design pattern that describes how APIs should be built. GraphQL is a query language that lets you query an API for specific data through a single endpoint. Verification is as hard as creation: where ChatGPT falls shortĪlgolia vs. The opinionated guide to setting up a sourcegraph server for more productive advanced code search Scrape Google Trends using Python and seaborn P圜harm vs Spyder vs Jupyter vs Visual Studio vs Anaconda vs IntelliJ OpenGrok vs Sourcegraph vs GitHub vs FishEye vs Source Insight vs Elasticsearch ![]() pandasīuild a basic Flask app with Neon in 5 minutes Learning Piano vs Learning Guitar vs Learning Keyboard vs Learning Violin vs Learning Cello Kubernetes vs Docker vs OpenShift vs ECS vs Jenkins vs Terraform Heroku vs Netfliy vs Vercel vs GitHub Pages vs Firebase vs Vercel GPT3.5 vs GPT4 for programming tutorials and some predictions How to create a simple survey app with React using Next.js and SanityĬreating Custom Graphs with Google Trends and pandasĭata visualization with Metabase from CSV files with SQLiteĭjango vs. **Clubhouse summaries**: and discuss deadlines AI-generated books are flooding Amazon (and they're as reliable as you would guess)
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