
memcached
Redis
MongoDB
Aerospike
Apache Cassandra
ArangoDB
CouchDB
PostgreSQL
WorkMeter
WorkMeter es una empresa española pionera en software SaaS para la medición automática de tiempos y cargas de trabajo. Su tecnología ofrece métricas precisas sobre actividad laboral, fichaje, calendarios, ausencias, uso de aplicaciones y costos en proyectos, integrables en dashboards empresariales para mejorar la productividad y la toma de decisiones basada en datos objetivos.
Su solución permite cumplir con normativas como el control horario, trabajo a distancia y desconexión digital, promoviendo transparencia, flexibilidad y bienestar laboral, siempre respetando la privacidad del empleado. Además, contribuye a la digitalización de RRHH, optimizando procesos y reduciendo costes.
Nuestras soluciones
Gestión del tiempo: Fichaje automático, control de horas extras, gestión de vacaciones, desconexión digital y optimización del trabajo en equipo.
Medición del desempeño: Evaluación de productividad, equilibrio de cargas de trabajo y validación del teletrabajo.
Gestión de proyectos: Imputación automática de actividad, medición de tiempos y costos, y control de avances y desviaciones.
Más de 50.000 usuarios en España y Latinoamérica confían en WorkMeter para mejorar la eficiencia y garantizar el cumplimiento normativo.
memcached
WorkMeterBased on our record, memcached seems to be more popular. It has been mentiond 37 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 has a single, focused goal: to be a high-performance, distributed, in-memory object caching system. It stores all data in RAM, which means reads and writes are incredibly fast. But its main weakness is just as clear: data is completely lost when the service restarts, as it offers no persistence. Its data model is a simple key-value store, limited to basic get, set, and delete operations. - Source: dev.to / about 1 year ago
Memcached can help when lightning-fast performance is needed. These tools store frequently accessed data, such as session details, API responses, or product prices, in RAM. This reduces the laid on your primary database, so you can deliver microsecond response times. - Source: dev.to / over 1 year ago
In-memory tools like Redis or Memcached for fast Data retrieval. - Source: dev.to / over 1 year ago
A caching layer using popular in-memory databases like Redis or Memcached can go a long way in addressing Postgres connection overload issues by being able to handle a much larger concurrent request load. Adding a cache lets you serve frequent reads from memory instead, taking pressure off Postgres. - Source: dev.to / over 1 year ago
Memcached — Free and well-known for its simplicity, Memcached is a distributed and powerful memory object caching system. It uses key-value pairs to store small data chunks from database calls, API calls, and page rendering. It is available on Windows. Strings are the only supported data type. Its client-server architecture distributes the cache logic, with half of the logic implemented on the server and the other... - Source: dev.to / almost 2 years ago
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
CouchDB - HTTP + JSON document database with Map Reduce views and peer-based replication