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 should be more popular than Mikro orm. It has been mentiond 216 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.
Of course, these examples are just toys. A more proper use for asynchronous generators is handling things like reading files, accessing network services, and calling slow running things like AI models. So, I'm going to use an asynchronous generator to access a networked service. That service is Redis and we'll be using Node Redis and Redis Query Engine to find Bigfoot. - Source: dev.to / 13 days ago
Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / 13 days ago
Real-time serving: Many push processed data into low-latency serving layers like Redis to power applications needing instant responses (think fraud detection, live recommendations, financial dashboards). - Source: dev.to / 26 days ago
Redis® Cluster is a fully distributed implementation with automated sharding capabilities (horizontal scaling capabilities), designed for high performance and linear scaling up to 1000 nodes. . - Source: dev.to / about 2 months ago
Instead of spinning up Redis, use an unlogged table in PostgreSQL for fast, ephemeral storage. - Source: dev.to / 2 months ago
Why typeorm over something like https://mikro-orm.io/? - Source: Hacker News / 4 months ago
In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:. - Source: dev.to / over 1 year ago
Mikro-ORM is a TypeScript ORM that focuses on simplicity and efficiency. It supports various SQL databases and MongoDB. Mikro-ORM is known for its simplicity and developer-friendly APIs. It provides a concise syntax for defining data models and relationships, making it easy to use. - Source: dev.to / over 1 year ago
I found MikroORM [0] to be quite reasonable if you're in the TS ecosystem already. It was also easy to do custom, raw queries, and really just felt like it wasn't in the way. [0] https://mikro-orm.io/. - Source: Hacker News / over 1 year ago
It also does code generation into its own module, so good luck with hoisting in a monorepo where you want multiple independent prisma schemas. MikroORM[1] is a much better alternative to Prisma in my opinion but any ORM carries some form of baggage. [1] https://mikro-orm.io/. - Source: Hacker News / about 2 years ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Beego - Beego Web is official blog and documentation website for beego app web framework
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Hibernate - Hibernate an open source Java persistence framework project.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Propel ORM - Application and Data, Languages & Frameworks, and Microframeworks (Backend)