Alternatives
Products that do what WunderGraph – The simplicity of RPC with the power of GraphQL does
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Dear HN Community. We're Bjorn, Dustin, Stefan & Jens, the founders of WunderGraph. More than two years ago, Jens started WunderGraph as a Side Project. The initial idea was to solve the problem of integrating multiple disparate DataSources into a single, unified API Layer. While solving this problem, Jens realized that his mental model of APIs was wrong. Most API tools treat APIs as abstract things or just endpoints, in a very imperative way. At some point, he realized that there's a better model to think about APIs: APIs are dependencies and we should treat them in a declarative way! And…
2022
- 3WB
2023 · github.com
- 4WT
2020 · wundergraph.com
- 5WA
Hey, I'm Jens, founder of WunderGraph. Over the years of working with REST & GraphQL APIs, I found that some aspects of using it are way too complicated. Here's a list of problems I believe could be abstracted away: - Aggregating multiple GraphQL, REST, etc. APIs into a simple to use API (Backend for Frontend) without writing code - adding Authentication & Authorization to APIs you don't have full control over - adding efficient and easy to use Caching to GraphQL APIs without writing code - adding persisted queries for security and performance reasons without making my application code and…
2020
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- 10WS
2022 · wundergraph.com
- 11GV
2017 · github.com
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- 13SG
2020 · github.com
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- 15GI
Graphweaver is an open-source GraphQL API Server that can connect many data sources to create a single API. Create a headless CMS, API Gateway, BaaS or use it as a BFF.
2023 · github.com
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- 17GF
2015 · github.com
- 18CT
2021 · cloudgraph.dev
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- 20HO
Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
2025 · github.com
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- 228R
2019 · 8base.com
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- 24TA
endpoints: /graphql /1.1 /2 /i
2023 · github.com
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