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  1. Stackups
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  4. Databases
  5. Aerospike vs Memcached

Aerospike vs Memcached

OverviewComparisonAlternatives

Overview

Memcached
Memcached
Stacks7.9K
Followers5.7K
Votes473
GitHub Stars14.0K
Forks3.3K
Aerospike
Aerospike
Stacks200
Followers288
Votes48
GitHub Stars1.3K
Forks196

Aerospike vs Memcached: What are the differences?

Introduction

This Markdown code provides a comparison between Aerospike and Memcached, highlighting their key differences.

  1. Data Model: Aerospike supports complex data types such as lists, maps, and hyperloglogs, in addition to simple data types like strings and integers. Memcached, on the other hand, only supports key-value pairs of simple data types.

  2. Scalability: Aerospike is designed to scale both vertically and horizontally, allowing for increasing the capacity and performance by adding more nodes or increasing the memory and CPU of existing nodes. In contrast, Memcached lacks built-in horizontal scaling capabilities and typically requires sharding or additional layers to achieve high scalability.

  3. Persistence: Aerospike is a hybrid database that can be configured to store data in-memory, on solid-state drives (SSDs), or a combination of both. It provides durability and persistence by automatically syncing data to disk. Memcached, being an in-memory caching system, doesn't inherently offer persistence. Data stored in Memcached is lost upon system restart or failure, relying on client applications to manage data recovery.

  4. Clustering: Aerospike deploys a shared-nothing clustering architecture, where each node in the cluster operates independently and shares data through a replication mechanism. This enables high availability, fault tolerance, and continuous availability even during node failures. Memcached, however, relies on manual distribution and replication of data across multiple cache instances, making it less fault-tolerant.

  5. Operations: Aerospike provides a rich set of data manipulation operations beyond basic key-value storage, including secondary indexes, batch and complex operations, and user-defined functions. Memcached primarily provides basic get, set, and delete operations on key-value pairs.

  6. Consistency and Replication: Aerospike supports different levels of consistency, allowing users to select their desired consistency model based on data availability and performance requirements. It also offers flexible replication options, including cross-datacenter replication. Conversely, Memcached doesn't provide built-in replication or consistency mechanisms, making it a simple caching system without data synchronization between nodes.

In summary, Aerospike offers advanced data modeling, scalability, persistence, clustering, operations, and customizable consistency, while Memcached focuses on simple key-value caching, lacks inherent persistence, and has limited scalability options.

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Detailed Comparison

Memcached
Memcached
Aerospike
Aerospike

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.

-
99% of reads/writes complete in under 1 millisecond.;Predictable low latency at high throughput – second to none. Read the YCSB Benchmark.;The secret sauce? A thousand things done right. Server code in ‘C’ (not Java or Erlang) precisely tuned to avoid context switching and memory copies. Highly parallelized multi-threaded, multi-core, multi-cpu, multi-SSD execution.;Indexes are always stored in RAM. Pure RAM mode is backed by spinning disks. In hybrid mode, individual tables are stored in either RAM or flash.
Statistics
GitHub Stars
14.0K
GitHub Stars
1.3K
GitHub Forks
3.3K
GitHub Forks
196
Stacks
7.9K
Stacks
200
Followers
5.7K
Followers
288
Votes
473
Votes
48
Pros & Cons
Pros
  • 139
    Fast object cache
  • 129
    High-performance
  • 91
    Stable
  • 65
    Mature
  • 33
    Distributed caching system
Cons
  • 2
    Only caches simple types
Pros
  • 16
    Ram and/or ssd persistence
  • 12
    Easy clustering support
  • 5
    Easy setup
  • 4
    Acid
  • 3
    Petabyte Scale

What are some alternatives to Memcached, Aerospike?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

Redis

Redis

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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