Graphweaver is a GraphQL Gateway that can connect many data sources together to create an API. It can be used to create a headless CMS, an API Gateway, or used as a Backend for mobile apps.
Why?
We consistently find that everyone has lots of sources of truth. You know, CRM holding customer data, accounting systems handling invoices, and more scattered across different SaaS platforms and databases? It's a real pain to sync it all up!
In the past we used to copy data from everywhere to the DB, but that always breaks at some point.
Well, after years of grappling with this issue, we wanted a way to easily build a single GraphQL API in front of all those sources. An API that allows you to execute queries that even span across datasources (give me DB records where customer in CRM name is "Bob"), and also allows you to administer your data all from one place.
That's why we built Graphweaver. We've been using it on our projects for about a year now and think you'll love it too!
Features
📝 Code-first GraphQL API: Save time and code efficiently with our code-first approach. 🚀 Built for Node in Typescript: The power of Typescript combined with the flexibility of Node.js. 🔗 Connect to Multiple Datasources: Seamlessly integrate Postgres, MySql, Sqlite, REST, and more. 🎯 Instant GraphQL API: Get your API up and running quickly with automatic queries and mutations. 🔄 One Command Import: Easily import an existing database with a simple command-line tool.
Based on our record, Dgraph seems to be a lot more popular than Graphweaver. While we know about 20 links to Dgraph, we've tracked only 1 mention of Graphweaver. 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.
We’re a small dev team based in Sydney and in between client projects we’ve been working on our own open-source tool, Graphweaver. Graphweaver allows you to combine multiple data sources (Databases, Rest APIs, Saas platforms) and expose a single GraphQL API. It’s a bit like Hasura or Step Zen but with more of a code-first flexibility. It can take your database and with a single import command, generate your code... Source: 10 months ago
Dgraph: A distributed and scalable graph database known for high performance. It's a good fit for large-scale graph processing, offering a GraphQL-like query language and gRPC API support. - Source: dev.to / 4 months ago
DGraph – A distributed GraphQL database with a graph backend. - Source: dev.to / over 1 year ago
How does it compare to, say grakn (renamed https://vaticle.com/, I think?), or draph (https://dgraph.io/), or Ontotext's GraphDB (https://www.ontotext.com/products/graphdb/), or Datomic? Source: over 1 year ago
Consul Connect service mesh has a higher memory footprint, so on a small cluster with e5-medium nodes (2 vCPUs, 4 GB memory), you will only be able to support a maximum of 6 side-car proxies. In order to get an application like Dgraph working, which will have 6 nodes (3 Dgraph Alpha pods and 3 Dgraph Zero pods) for high availability along with at least one client, a larger footprint with more robust Kubernetes... - Source: dev.to / over 1 year ago
Looking forward comparison with Dgraph ( https://dgraph.io/ ) — I mentioned Dgraph in other, older, posts. I'm not a shill, just a Dgraph user who's looking for alternative. - Source: Hacker News / over 1 year ago
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