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Ehcache
EdgeDB
GraphQL
Prisma GraphQL API
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Google Cloud Datastore
MarkLogic Server
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Valentina Server
Datahike
Matisse
Oracle TimesTen
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GraphQL Cache
Google Cloud DatastoreNo features have been listed yet.
Based on our record, Google Cloud Datastore should be more popular than GraphQL Cache. It has been mentiond 7 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.
'id' data type and field to help support caching: https://graphql.org/learn/caching/. Source: over 3 years ago
> 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 4 years ago
> 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 4 years ago
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]. Iโm 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 couldnโt? [1]... - Source: Hacker News / about 5 years ago
A long time ago, a fork of Django called โDjango-nonrelโ experimented with the idea of using Djangoโs ORM with a non-relational database; what was then called the App Engine Datastore, but is now known as Google Cloud Datastore (or technically, Google Cloud Firestore in Datastore Mode). Since then a more recent project called "django-gcloud-connectors" has been developed by Potato to allow seamless ORM integration... - Source: dev.to / about 2 years ago
In that case use Cloud Datastore (aka Firestore in Datastore Mode). It's a NoSQL db that was initially targeted just for GAE (you needed to have a GAE App even if empty to use it) but that requirement has been relaxed. Source: over 3 years ago
As u/SierraBravoLima said - If you don't really need containerization, you can go with Google App Engine (Standard). If you need to store data, GAE will work with cloud datastore which has a large enough free tier. Source: about 4 years ago
Datastore mode had its start in App Engine's early days (launched in 2008), where its Datastore was the original scalable NoSQL database provided for all App Engine apps. In 2013, Datastore was made available all developers outside of App Engine, and "re-launched" as Cloud Datastore. In 2014, Google acquired Firebase for its RTDB (real-time database). Both teams worked together for the next 4 years, and in 2017,... Source: over 4 years ago
Database: datastore should be very cheap, or you could just output as csv text and copy into Google Sheets (free!). Source: over 4 years ago
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MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.
Let's Encrypt - Letโsย Encrypt is a free, automated, and open certificate authority brought to you by the Internet Security Research Group (ISRG).
Datomic - The fully transactional, cloud-ready, distributed database
Ehcache - Java's most widely used cache.
Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server