
Redis
MongoDB
ArangoDB
Apache Cassandra
CouchBase
memcached
OrientDB
neo4j
DeveloperScope
Y-Combinator
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.
Become or Find Co-Founders. Connect with other developers, business associates, or marketers and build a tech startup together.
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DeveloperScope's answer:
We want you to focus on building your startup while we help you find cofounders.
DeveloperScope's answer:
Developers, business associates & marketers.
DeveloperScope's answer:
They should choose developerscope because there's no competitors.
DeveloperScope's answer:
I was building a new social network & wanted to find a cofounder to be part of the exciting adventure. While not successful. I decided to build a platform that helps other founders find cofounders.
DeveloperScope's answer:
Based on our record, Redis seems to be a lot more popular than DeveloperScope. While we know about 237 links to Redis, we've tracked only 2 mentions of DeveloperScope. 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.
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 / 3 months ago
Adding caching layers using services like Redis cache,. - Source: dev.to / 3 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 / 4 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 / 4 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 / 5 months ago
If anyone is interested, the website is developerscope.com. Source: almost 3 years ago
Hi guys, I would love to get some feedback on a project I have being building for the past 8 months. I am building it into a platform where other developers can share their projects or build a startup. DeveloperScope. Source: about 3 years ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Y-Combinator - Y Combinator provides seed funding for startups.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
CouchBase - Document-Oriented NoSQL Database
memcached - High-performance, distributed memory object caching system