open-source-by-corporations VS Redis

For the course I started to collect Open Source projects developed by corporations. There are a few where the product is open source such as Redis and Elastic. There are others where the company shares some of its code as open source such as Netflix, Facebook, or Booking.com.

I started a Git repository listing Open Source projects by Higher Education institutes and another one listing Open source projects by corporations.

For building the RESTful Point of Sale service API, I've considered and selected a combination of technologies that would work seamlessly together. For handling HTTP requests and responses, using the Gin HTTP web framework would make sense because I think it seems complete and popular among Go community too. To ensure data integrity and persistence, I'm using PostgreSQL database with pgx as the database driver, the reason I choose PostgreSQL because it is the most popular relational database to use in production and offers efficient Go integration. I'm also implementing caching using Redis with go-redis client library, which provides powerful in-memory data storage capabilities.

Ghostfolio is written in TypeScript and organized as an Nx workspace, utilizing the latest framework releases. The backend is based on NestJS in combination with PostgreSQL as a database together with Prisma and Redis for caching. The frontend is built with Angular.

NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and Cassandra.

Databases Backend developers use databases like MySQL, PostgreSQL, MongoDB (NoSQL), or Redis (an in-memory database) to store and manage data. It is important for persistent data storage and retrieval in web applications.

Django also supports using Redis as a cache backend. Redis is an in-memory data structure store that can function as a cache server. It offers advanced caching features and can be used to store various types of data.

NoSQL databases are non-relational databases with flexible schema designed for high performance at a massive scale. Unlike traditional relational databases, which use tables and predefined schemas, NoSQL databases use a variety of data models. There are 4 main types of NoSQL databases - document, graph, key-value, and column-oriented databases. NoSQL databases generally are well-suited for unstructured data, large-scale applications, and agile development processes. The most popular examples of NoSQL databases are MongoDB (document), Memgraph (graph), Redis (key-value store) and Apache HBase (column-oriented).

When it needs to evict an item, Redis performs random sampling of the entire keyspace and selects K candidates. Then it choosed the item with the least recently used timestamp among those K candidates and vacates it. This way, Redis saves 16 bytes per entry needed for ordering items in one global order. This heuristic is a very rough approximation of an LRU.Redis maintainers have recently discussed the possibility of adding an additional heuristic to Redis by implementing a classic LRU policy with global order but eventually decided against it.

Flask is an open-source Python micro framework for building web applications. It is implemented on implemented on Werkzeug and Jinja2. Redis is a vibrant open source in-memory data store platform. Developers use Redis as a message broker, database, streaming engine and for application caching.

Bull uses Redis to persist job data, so you’ll need Redis installed on your system.

Polled from Redis