
Redis
MongoDB
ArangoDB
Apache Cassandra
CouchBase
memcached
OrientDB
neo4j
Fluper
Net Solutions
AWS Snowball
OpenLayers
Revenue River
Straight North
Skaled
Savvy Apps
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.
FluperIn collaboration with Fluper, our primary objective was to develop a user-friendly mobile banking app, allowing customers to manage accounts, make payments, and access financial information. Key deliverables included a seamless user interface, robust security features, and real-time transaction tracking.
In collaboration with Fluper, our primary goal was to create a user-friendly restaurant management software that allowed owners to streamline reservations, process orders, and interact with customers. Key deliverables included a responsive interface, secure data storage, and real-time performance analytics.
Partnering with Fluper, our goal was to develop an event management software that offered features for event planning, ticketing, and attendee engagement. Key deliverables included a user-friendly event dashboard, secure payment processing, and real-time analytics.
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 / 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
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Net Solutions - Where innovation meets expertise. Award-winning digital solutions built for growth.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
AWS Snowball - AWS Snowball is a petabyte-scale data transport service that uses secure devices to transfer large amounts of data into and out of the AWS cloud.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
OpenLayers - A high-performance, feature-packed library for all your mapping needs.