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MarkLogic Server VS GraphQL Cache

Compare MarkLogic Server VS GraphQL Cache and see what are their differences

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Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

MarkLogic Server logo MarkLogic Server

MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

GraphQL Cache logo GraphQL Cache

GraphQL provides a complete description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools.
  • MarkLogic Server Landing page
    Landing page //
    2023-07-27
  • GraphQL Cache Landing page
    Landing page //
    2023-08-29

Category Popularity

0-100% (relative to MarkLogic Server and GraphQL Cache)

MarkLogic Server

GraphQL Cache

Databases
82 82%
Databases
18% 18
NoSQL Databases
80 80%
NoSQL Databases
20% 20
Network & Admin
100 100%
Network & Admin
0% 0
Key-Value Database
0 0%
Key-Value Database
100% 100

User comments

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Social recommendations and mentions

Based on our record, GraphQL Cache seems to be more popular. It has been mentiond 4 times since March 2021. 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.

MarkLogic Server mentions (0)

We have not tracked any mentions of MarkLogic Server yet. Tracking of MarkLogic Server recommendations started around Apr 2022.

GraphQL Cache mentions (4)

  • What are the Differences between GQL and REST?
    'id' data type and field to help support caching: https://graphql.org/learn/caching/. Source: over 1 year ago
  • GraphQL Is a Trap?
    > Take a look at this. I repeat: client-side caching is not a problem, even with GraphQL. The technical problems regarding GraphQL's blockers to caching lies in server-side caching. For server-side caching, the only answer that GraphQL offers is to use primary keys, hand-wave a lot, and hope that your GraphQL implementation did some sort of optimization to handle that corner case by caching results. Don't take my... - Source: Hacker News / about 2 years ago
  • GraphQL Is a Trap?
    > Checkout Relay.js: https://relay.dev/ Relay is a GraphQL client. That's the irrelevant side of caching, because that can be trivially implemented by an intern, specially given GraphQL's official copout of caching based on primary keys [1], and doesn't have any meaningful impact on the client's resources. The relevant side of caching is server-side caching: the bits of your system that allow it to fulfill... - Source: Hacker News / about 2 years ago
  • Designing a URL-based query syntax for GraphQL
    This is clever! Can anyone help me understand how this lines up with the original value proposition of GraphQL? I was under the impression that the Big Idea behind GraphQL was, amongst other things, client-side caching[1]. I’m probably missing some nuance here, so bear with me: if your GraphQL client is caching properly, then what would this syntax give a developer that a URL query parameter parser couldn’t? [1]... - Source: Hacker News / about 3 years ago

What are some alternatives?

When comparing MarkLogic Server and GraphQL Cache, you can also consider the following products

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

Ehcache - Java's most widely used cache.

Google Cloud Datastore - Cloud Datastore is a NoSQL database for your web and mobile applications.

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

Datahike - A durable datalog database adaptable for distribution.

Hazelcast - Clustering and highly scalable data distribution platform for Java

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