nebula graph
RedisGraph
neo4j
LemonGraph
NetworkX
ArangoDB
AllegroGraph
OpenVSCode Server
GraphQl Editor
GraphQL Playground
Stellate.co
Hasura
graphql-yoga
GraphQL Voyager
How to GraphQL
Explore GraphQL
🌟 Maximize the Potential of a Well-Planned GraphQL Schema: Elevate Your Project! 🌟
Looking to elevate your project? Discover the game-changing benefits of a well-planned GraphQL schema. 🚀
In modern API development, GraphQL has revolutionized flexibility, efficiency, and scalability. A meticulously crafted schema lies at the core of every successful GraphQL implementation, enabling seamless data querying and manipulation. 💡
Explore the key advantages of a well-planned GraphQL schema for your project:
❤️🔥 Precisely define data requirements for each API call. GraphQL's query language empowers clients to request specific data, reducing over-fetching and network traffic This control ensures lightning-fast responses and a superior user experience.
❤️🔥 Act as a contract between frontend and backend teams, providing clear guidelines for data exchange. Developers can work independently on components, without waiting for API modifications. This decoupling accelerates development and project delivery.
❤️🔥 Anticipate future data requirements by easily adding, modifying, and deprecating with a well-designed schema. This saves development time and prevents disruptive changes down the line, making your project adaptable and future-proof.
❤️🔥 GraphQL's self-documenting nature serves as a comprehensive source of truth, eliminating ambiguity. Developers can effortlessly explore and understand data and relationships, boosting productivity and code quality.
❤️🔥 GraphQL's ability to batch and aggregate data from multiple sources optimizes backend operations By intelligently combining and caching data, you can enhance application performance, delivering lightning-fast experiences to users.
Embrace the power of a well-planned GraphQL schema to transform your project and unlock endless possibilities. Optimize data fetching, simplify development workflows, future-proof your application, enhance developer experience, and improve performance. 💪
try GraphQL Editor now!
nebula graph GraphQl EditorGraphQl Editor might be a bit more popular than nebula graph. We know about 6 links to it since March 2021 and only 6 links to nebula graph. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
A NoSQL graph database is a type of non-relational, distributed database which employs a graph model. NoSQL stands for “Not only SQL” and refers to a new breed of databases that differ from traditional relational databases in their data model and performance. Graph databases are especially useful for data associated with relationships—everything from friendships on social netwo#rks to equipment supply chains or... - Source: dev.to / over 1 year ago
An open source graph database is always the best place to start as they come with a supportive community that ultimately creates the perfect ecosystem. - Source: dev.to / over 1 year ago
When we first came across NebulaGraph, because the ecology was not perfect, and only some businesses migrated to Nebula, we used to import NebulaGraph data, whether full or incremental, by pushing Hive tables to Kafka and consuming Kafka to write NebulaGraph in batch. Later, as more and more data and businesses switched to NebulaGraph, the problem of importing data efficiency became more and more serious. The... - Source: dev.to / over 1 year ago
NebulaGraph, a leading open source graph database, announced it raised tens of millions of US dollars in Series A funding. Investors in the round are led by Jeneration Capital, with participation from the previous investors - Matrix Partner China, Redpoint China Ventures, and Source Code Capital. China Renaissance served as the exclusive financial advisor in this financing round. - Source: dev.to / almost 2 years ago
One option is NebulaGraph if your looking for low latency, scalability, and HA. Source: over 2 years ago
Aside from the ones mentioned graphql editor has a bunch of features that are helpful for testing like a click-out creator and a built-in mock backend for testing queries. Source: over 1 year ago
I may be wrong, but something like graphqleditor is geared more towards setting up GraphQL API/server, in Supabase case, it's database - Postgres, is the server/API. Source: about 2 years ago
I've tried graphqleditor.com but I can't get my my supabase API url to connect [mysupabaseurl].supabase.co/graphql/v1. Source: about 2 years ago
Https://graphqleditor.com/ New version is available here. Source: over 2 years ago
Make your schema and code to that. Here's a tool to help visualize. I've personally never found it useful, but maybe that's just me. Https://graphqleditor.com/. Source: over 2 years ago
RedisGraph - A high-performance graph database implemented as a Redis module.
GraphQL Playground - GraphQL IDE for better development workflows
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
Stellate.co - Everything you need to run your GraphQL API at scale
LemonGraph - An embedded transactional graph engine for Python.
Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.