
Redis
MongoDB
ArangoDB
Apache Cassandra
CouchBase
memcached
OrientDB
neo4j
Partunity
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.
Partunity is an all-in-one platform designed to streamline the startup journey for founders. We offer a suite of tools and resources, including:
*Co-founder matching: Our AI-powered matching system connects entrepreneurs with compatible partners. *Talent acquisition: A curated job board to help you build a strong team. *AI Startup Assistant: Generate custom business plans, go-to-market strategies, and funding allocation plans. *Milestone tracking & collaboration: Stay organized and work efficiently with your team. *Supportive community: Connect with mentors, advisors, and fellow entrepreneurs for guidance and inspiration.
Our mission is to make the startup world more accessible for everyone, providing entrepreneurs with the resources and support they need to launch and scale their ventures. Whether you're a founder with an idea, a technical expert seeking a co-founder, or simply looking to join an exciting startup, Partunity provides the tools and community to help you succeed.
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Based on our record, Redis seems to be more popular. It has been mentiond 237 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.
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 / 3 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 / 5 months 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