memcached
Redis
MongoDB
Aerospike
PostgreSQL
Apache Cassandra
CouchBase
Apache Ignite
Apache Kafka
RabbitMQ
Apache ActiveMQ
Amazon SQS
StatCounter
Histats
AFSAnalytics
KISSmetrics
memcached Apache KafkaBased on our record, Apache Kafka should be more popular than memcached. It has been mentiond 120 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.
Memcached: A simple, open-source, distributed memory object caching system primarily used for caching strings. Best suited for lightweight, non-persistent caching needs. - Source: dev.to / 2 months ago
Stores session state in a session store like Memcached or Redis. - Source: dev.to / 5 months ago
Django supports using Memcached as a cache backend. Memcached is a high-performance, distributed memory caching system that can be used to store cached data across multiple servers. - Source: dev.to / 10 months ago
In server-side authentication, the session state is stored on the server-side, which can be scaled horizontally across multiple servers using tools like Redis or Memcached. - Source: dev.to / 10 months ago
The main components are sharding and caching. The storage is done with MySQL. The cache is done by memcached. Source: 12 months ago
In today’s fast-paced digital landscape, effective data management and analysis are essential for businesses aiming to stay ahead of the curve. Fortunately, modern tools like Apache Kafka and RudderStack have revolutionized the way we handle and derive insights from large datasets. In this blog post, we’ll explore our experience implementing the Kafka Sink Connector to facilitate seamless event data transfer to... - Source: dev.to / about 2 months ago
Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 3 months ago
Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time. - Source: dev.to / 3 months ago
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 3 months ago
RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput. - Source: dev.to / 3 months ago
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
RabbitMQ - RabbitMQ is an open source message broker software.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.
Amazon SQS - Amazon Simple Queue Service is a fully managed message queuing service.
