Software Alternatives, Accelerators & Startups

WunderGraph VS Datahike

Compare WunderGraph VS Datahike and see what are their differences

WunderGraph logo WunderGraph

Save 2-4 weeks / 90% of the code building web apps by automating API integrations and security.

Datahike logo Datahike

A durable datalog database adaptable for distribution.
  • WunderGraph Landing page
    Landing page //
    2023-08-27
  • Datahike Landing page
    Landing page //
    2023-08-22

WunderGraph videos

#WunderGraph Show & Tell #3 - Secrets, Multi-Region Deployments, Create WunderGraph App, and more...

Datahike videos

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Category Popularity

0-100% (relative to WunderGraph and Datahike)
API
100 100%
0% 0
Databases
0 0%
100% 100
GraphQL
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, WunderGraph seems to be a lot more popular than Datahike. While we know about 54 links to WunderGraph, we've tracked only 4 mentions of Datahike. 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.

WunderGraph mentions (54)

  • GraphQL Federation Field-level Metrics 101
    To demonstrate field usage metrics in Federation, I’ll be using WunderGraph Cosmo — a fully open source, fully self-hostable platform for Federation V1/V2 that is a drop in replacement for Apollo GraphOS. - Source: dev.to / 6 months ago
  • You do need a technical co-founder
    The inverse is also true. As a technical founder, and maybe even an introvert like me, you should definitely look for a non-technical co-founder who can help you with networking, etc... I found my dream co-founder through YC Co-founder match and what can I say, it's going great. We're focusing on enterprise GraphQL/API solutions (https://wundergraph.com) and I benefit from the networking and communication... - Source: Hacker News / 7 months ago
  • The Road to GraphQL At Enterprise Scale
    GraphQL Gateway is primarily responsible for serving GraphQL queries to consumers. It takes a query from a client, breaks it into smaller sub-queries, and executes that plan by proxying calls to the appropriate downstream subgraphs. When we started our journey, there was only Apollo Federation in the arena, and we used it. Still, now you can look at other options (e.g. Mercurius, Conductor, Hot Chocolate,... - Source: dev.to / 7 months ago
  • tRPC – Move Fast and Break Nothing. End-to-end typesafe APIs made easy
    I'm a big fan of tRPC. It's amazing how it pushed TypeScript only stacks to the limit in terms of DX. Additionally, it made the GraphQL community aware of the limitations and tradeoffs of the Query language. At the same time, I think tRPC went through a really fast hype cycle and it doesn't look like we're seeing a massive move away from REST and GraphQL to RPC. That said, we see a lot of interest in RPC these... - Source: Hacker News / 10 months ago
  • Build Smarter, Not Harder: Simplifying Backend Workflows with Build-time GraphQL
    Starting to sound like a broken record, here. How do we break the cycle? Let’s talk about it, with a look at a free and open-source technology  --  WunderGraph  -- that can help us. - Source: dev.to / 12 months ago
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Datahike mentions (4)

  • The Ten Rules of Schema Growth
    Datahike [0] provides similar functionality to datomic and is open source. It lacks some features however that Datomic does have [1]. [0]: https://github.com/replikativ/datahike. - Source: Hacker News / 8 months ago
  • Is Datomic right for my use case?
    You can also consider other durable Datalog options like datahike or datalevin which can work either as lib (SQLite style) or in a client-server setup; if you want to play with bi-temporality XTDB is a rock solid option with very good support and documentation. Source: 12 months ago
  • Max Datom: Interactive Datomic Tutorial
    Oh really interesting. I didn't know about that. I was actually going threw the old Mendat code base and was considering using that. I would really like a pure Rust version of Datomic for embed use cases. There is all also Datahike, that is going in that direction too. It is maintained and actively developed. https://github.com/replikativ/datahike. - Source: Hacker News / about 2 years ago
  • Show HN: Matrix-CRDT – real-time collaborative apps using Matrix as backend
    Having an Datomic like store backed by something like this. https://github.com/replikativ/datahike Is an Open Source variant of Datomic. Lambdaforge wants to eventually have this work with CRDTs. Using the Matrix ecosystem for this is quite interesting as it solves many problems for you already. - Source: Hacker News / over 2 years ago

What are some alternatives?

When comparing WunderGraph and Datahike, you can also consider the following products

GraphQL - GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.

Datomic - The fully transactional, cloud-ready, distributed database

EdgeDB - EdgeDB is a next-generation graph-relational database that lets you easily build flexible, scalable applications in real-time.

Oracle TimesTen - TimesTen is an in-memory, relational database management system with persistence and...

Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server