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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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Pros of Aerospike
Pros of Memcached
  • 16
    Ram and/or ssd persistence
  • 12
    Easy clustering support
  • 5
    Easy setup
  • 4
    Acid
  • 3
    Petabyte Scale
  • 3
    Scale
  • 3
    Performance better than Redis
  • 2
    Ease of use
  • 139
    Fast object cache
  • 129
    High-performance
  • 91
    Stable
  • 65
    Mature
  • 33
    Distributed caching system
  • 11
    Improved response time and throughput
  • 3
    Great for caching HTML
  • 2
    Putta

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Cons of Aerospike
Cons of Memcached
    Be the first to leave a con
    • 2
      Only caches simple types

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    What is Aerospike?

    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.

    What is Memcached?

    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.

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    What companies use Aerospike?
    What companies use Memcached?
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    What tools integrate with Aerospike?
    What tools integrate with Memcached?

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    What are some alternatives to Aerospike and Memcached?
    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.
    Riak
    Riak is a distributed database designed to deliver maximum data availability by distributing data across multiple servers. As long as your client can reach one Riak server, it should be able to write data. In most failure scenarios, the data you want to read should be available, although it may not be the most up-to-date version of that data.
    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.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    Tarantool
    It is designed to give you the flexibility, scalability, and performance that you want, as well as the reliability and manageability that you need in mission-critical applications
    See all alternatives