
Scratch
Code.org
Godot Engine
GDevelop
Invent With Python
Snap
Processing
Unity
Redis
MongoDB
ArangoDB
Apache Cassandra
CouchBase
memcached
OrientDB
neo4j
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.
ScratchBased on our record, Scratch should be more popular than Redis. It has been mentiond 577 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.
Sounds like Scratch: https://scratch.mit.edu/. - Source: Hacker News / about 1 month ago
The average house in the UK now has 1.3 laptops. https://www.theguardian.com/technology/2015/apr/09/online-all-the-time-average-british-household-owns-74-internet-devices A windows laptop from today is vastly easier to code on that a C64 or whatever. Most houses would have an internet connection as well so they can get to all sorts of things. A Raspberry Pi is probably something richer kids get to play with. Have... - Source: Hacker News / about 1 month ago
No syntax error editing seems like https://scratch.mit.edu/. - Source: Hacker News / 4 months ago
My 2c from lots of remote math tutoring, and one coding-for-fun middle school student: - student motivation is everything. Hard to motivate thru a screen and with cameras off. Hard to keep them engaged or recognize if they're engaged. Less of an issue with adult students. - reduce friction for students as much as possible. Ideally one web tool, zero installs. Prefer tools with few failure modes, and have fallbacks... - Source: Hacker News / 5 months ago
What is the closest analogy for kids these days? https://scratch.mit.edu ? - Source: Hacker News / 8 months ago
Why a cache server? Well, to be, a cache system is the smallest piece of software one can found everywhere. There is a reason why redis, memcached or many other projects like that are used by everybody: developers need a way to store data quick. It could be for a session, for temporary data or simply to avoid annoying the main core database. A cache service is easy to create (key/value store), and can become... - Source: dev.to / about 2 months ago
Adding caching layers using services like Redis cache,. - Source: dev.to / about 2 months ago
Redis works well as the queue layer for this pattern. The receiver appends events to a list or stream. Workers consume from the stream, update event status on completion, and move failed events to a dead-letter queue after exhausting retries. - Source: dev.to / 2 months ago
Bifrost supports dual-layer semantic caching with exact match and semantic similarity. Backend options include Redis for exact caching, Weaviate for vector-based semantic matching, and Qdrant as an alternative vector store. - Source: dev.to / 3 months ago
In-memory caching shared across instances. There are no sticky sessions by default (though session affinity is available on a best-effort basis). Each request might hit a different instance. If you need shared state, you need an external store like Redis or Memorystore. - Source: dev.to / 4 months ago
Code.org - Code.org is a non-profit whose goal is to expose all students to computer programming.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Godot Engine - Feature-packed 2D and 3D open source game engine.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
GDevelop - GDevelop is an open-source game making software designed to be used by everyone.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.