Citus vs Memcached

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Citus

58
122
+ 1
10
Memcached

7.6K
5.5K
+ 1
473
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Citus vs Memcached: What are the differences?

Developers describe Citus as "Worry-free Postgres for SaaS. Built to scale out". Citus is worry-free Postgres for SaaS. Made to scale out, Citus is an extension to Postgres that distributes queries across any number of servers. Citus is available as open source, as on-prem software, and as a fully-managed service. On the other hand, Memcached is detailed as "High-performance, distributed memory object caching system". 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.

Citus and Memcached belong to "Databases" category of the tech stack.

"Multi-core Parallel Processing" is the primary reason why developers consider Citus over the competitors, whereas "Fast object cache" was stated as the key factor in picking Memcached.

Citus and Memcached are both open source tools. Memcached with 8.99K GitHub stars and 2.6K forks on GitHub appears to be more popular than Citus with 3.64K GitHub stars and 273 GitHub forks.

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Pros of Citus
Pros of Memcached
  • 6
    Multi-core Parallel Processing
  • 2
    Drop-in PostgreSQL replacement
  • 2
    Distributed with Auto-Sharding
  • 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 Citus
Cons of Memcached
    Be the first to leave a con
    • 2
      Only caches simple types

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    What is Citus?

    It's an extension to Postgres that distributes data and queries in a cluster of multiple machines. Its query engine parallelizes incoming SQL queries across these servers to enable human real-time (less than a second) responses on large datasets.

    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 Citus?
    What companies use Memcached?
    See which teams inside your own company are using Citus or Memcached.
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    What tools integrate with Citus?
    What tools integrate with Memcached?

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    Blog Posts

    Dec 22 2020 at 9:26PM

    Pinterest

    Amazon EC2C langMemcached+4
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    Jun 6 2019 at 5:11PM

    AppSignal

    RedisRubyKafka+9
    15
    1650
    GitHubDockerReact+17
    40
    36345
    GitHubPythonNode.js+47
    55
    72368
    JavaScriptGitHubNode.js+26
    20
    4967
    What are some alternatives to Citus and Memcached?
    TimescaleDB
    TimescaleDB: An open-source database built for analyzing time-series data with the power and convenience of SQL — on premise, at the edge, or in the cloud.
    CockroachDB
    CockroachDB is distributed SQL database that can be deployed in serverless, dedicated, or on-prem. Elastic scale, multi-active availability for resilience, and low latency performance.
    Apache Aurora
    Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.
    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.
    Vitess
    It is a database solution for deploying, scaling and managing large clusters of MySQL instances. It’s architected to run as effectively in a public or private cloud architecture as it does on dedicated hardware. It combines and extends many important MySQL features with the scalability of a NoSQL database.
    See all alternatives