Notion SQL Learning
LogicLoop
Slack SQL
DataQuest Beta
SQL Police Department
Upsolver
Vanna AI
TABLUM.IO
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.
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Based on our record, Redis seems to be a lot more popular than Notion SQL Learning. While we know about 237 links to Redis, we've tracked only 4 mentions of Notion SQL Learning. 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.
I added a new Job Search to Notion SQL Learning that will help you organize your job search process and make sure you don't miss out on opportunities. If you don't have it already, you can get it now. https://mustafae.gumroad.com/l/qfuxr. Source: almost 4 years ago
I added GitHub integration after the last Notion updates. In this way, you can create a new request for the content or new module requests you want to be added to Notion SQL Learning template via Github. If you don't have Notion SQL Learning template yet, Here is the link: https://mustafae.gumroad.com/l/qfuxr. Source: almost 4 years ago
Here is the my Notion template link in case you are interested in building your own template. https://mustafae.gumroad.com/l/qfuxr. Source: almost 4 years ago
Awesome, good luck on your journey! If you're looking to organize and keep track of your SQL learning progress, I recommend Notion SQL Learning https://mustafae.gumroad.com/l/qfuxr. Source: almost 4 years 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
LogicLoop - SQL AI Copilot for business and data teams
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Slack SQL - Execute SQL queries inside of Slack
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
DataQuest Beta - Codecademy for Data Science
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.