Redis
MongoDB
ArangoDB
Apache Cassandra
CouchBase
memcached
OrientDB
neo4j
Gumstack
Daily.co for Intercom
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.
Gumstack makes it easy to have Face-to-face conversations with customers on your website. No coding required, you can integrate Gumstack in under 5 minutes on any website or part of the website. It is built to seamlessly work across browsers and devices.
Thereโs more - you can invite your team members and route calls to them, or let your customers schedule calls when youโre not around. Office hours, team calendars, notifications - weโve got many aspects covered as we launch this.
We are live on our website, to help people see how easy it is to connect. We welcome people to come to http://gumstack.com/saas and click on "Talk to us", to see how easy it is to connect with people.
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Based on our record, Redis seems to be a lot more popular than Gumstack. While we know about 237 links to Redis, we've tracked only 1 mention of Gumstack. 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
Hey...I am posting regarding my startup Gumstack. Many a time, we have website visitors, even repeat visitors who come to our site, but drop off, since some of their questions are never answered. And in a world of digital overload, wouldn't it be great to have an easy face to face interaction, that can elevate the conversation and make it more authentic? Source: about 5 years ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Daily.co for Intercom - Free video calls & screen shares embedded in Intercom
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