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REDIS
Deploy, Scale, and Accelerate Your Data with In-Memory Performance
Redis is an open-source, in-memory data structure store used as a database, cache, and message broker.
It delivers ultra-fast performance for real-time applications by storing data directly in memory.
Bandwidth Protection
99.90% Uptime SLA
Data center: EODC, Enfidha
Deploy your applications on a PaaS hosted
in a Tunisian data center certified to ISO
27001 and PCI DSS standards.
Deploy your solutions on a PaaS
compliant with Tunisian laws and achieve
savings of 40–50% compared to
AWS and Microsoft Azure.
FAQ
Does Redis provide high availability?
Yes. Redis ensures high availability by replicating a primary node to one or more replica nodes.
Changes made on the primary node are asynchronously replicated to the replicas, ensuring data redundancy and improved resilience.
Does Redis provide high availability?
Yes. Redis ensures high availability by replicating a primary node to one or more replica nodes.
Changes made on the primary node are asynchronously replicated to the replicas, ensuring data redundancy and improved resilience.
Is Redis resilient?
A standalone Redis server is easy to configure and use, but it is not resilient to node failure.
Regardless of whether you use RDB or AOF persistence, if the node becomes unavailable, your service is affected.
Is Redis faster than MongoDB?
It depends on the use case. Redis is generally faster than MongoDB when working with small datasets because it stores data in memory.
However, as data volume grows, MongoDB can handle large datasets more efficiently and maintain better performance at scale.
Why do we need high availability?
High availability ensures that your IT infrastructure continues to operate even if some components fail.
It is essential for critical systems, where downtime can negatively impact the business, leading to additional costs or financial losses.