Mlem

Mlem

Mlem is an open-source, self-hosted alternative to Memcached. It is an in-memory key-value store designed for caching and distributing data across multiple nodes. Mlem aims to provide faster lookup of data by keeping frequently accessed data in RAM.
Mlem image
opensource selfhosted inmemory keyvalue-store caching data-distribution

Mlem: Self-Hosted Memcached Alternative

An open-source, in-memory key-value store for caching and distributed data across multiple nodes, aiming to provide faster lookup of frequently accessed data.

What is Mlem?

Mlem is an open-source, distributed in-memory object caching system intended as an alternative to Memcached. Like Memcached, Mlem keeps frequently accessed data in memory to allow for faster lookups compared to storing data on disk or databases.

A key benefit of Mlem is its ability to scale horizontally across multiple nodes to distribute and replicate data. This improves performance, redundancy, and resiliency. Mlem uses a consistent hashing algorithm to distribute data evenly across nodes.

As an open-source tool, Mlem provides greater customization, transparency, and control compared to proprietary software like Memcached. Developers can modify the source code as needed. Mlem is released under the BSD license.

Overall, sites and applications that require fast, scalable caching for data like session information, query results, or page contents can benefit from using Mlem. The open-source nature provides flexibility for deployments ranging from small projects to large-scale enterprises.

Mlem Features

Features

  1. In-memory key-value store
  2. Caching and distributing data across multiple nodes
  3. Faster lookup of frequently accessed data
  4. Open-source and self-hosted

Pricing

  • Open Source

Pros

Faster data access compared to disk-based solutions

Scalable and distributed architecture

Open-source and customizable

Suitable for caching and data distribution use cases

Cons

Requires more RAM compared to disk-based solutions

Data persistence is limited, data may be lost on server restart

Complexity of setting up and managing a distributed system


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