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.
Based on our record, Redis seems to be a lot more popular than Firebird. While we know about 216 links to Redis, we've tracked only 3 mentions of Firebird. 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.
Y'know, this situation is why Firefox bounced off the names Phoenix and Firebird before settling. Source: almost 3 years ago
Another big open source DB I'd like to hear about more often is Firebird (https://firebirdsql.org/) which was forked from the Interbase code released by Borland (don't remember how they were called at the time). Four choices of connection model (process-by-connection, thread-by-connection, some weird mix, and in-process), full ANSI SQL, runs on all major platforms, and uses single file databases. Seems to be the... - Source: Hacker News / over 3 years ago
For C/C++ Firebird could be an option, although that isn't really "in memory" as it persists all data to disk. Source: about 4 years ago
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 / 1 day ago
Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / 1 day 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 / 15 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 1 month ago
Instead of spinning up Redis, use an unlogged table in PostgreSQL for fast, ephemeral storage. - Source: dev.to / about 2 months ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Microsoft SQL Server - Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform. Move faster, do more, and save money with IaaS + PaaS. Try for FREE.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
CouchBase - Document-Oriented NoSQL Database
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
LibreOffice - Base - Base, database, database frontend, LibreOffice, ODF, Open Standards, SQL, ODBC