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DalmatinerDB

6
11
+ 1
1
Memcached

6.7K
4.9K
+ 1
470
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DalmatinerDB vs Memcached: What are the differences?

Developers describe DalmatinerDB as "A fast, distributed metric store". DalmatinerDB is a no fluff purpose built metric database. Not a layer put on top of a general purpose database or datastore. 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.

DalmatinerDB and Memcached can be primarily classified as "Databases" tools.

DalmatinerDB 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 DalmatinerDB with 696 GitHub stars and 45 GitHub forks.

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Pros of DalmatinerDB
Pros of Memcached
  • 1
    Light and Fast
  • 138
    Fast object cache
  • 128
    High-performance
  • 90
    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 DalmatinerDB
Cons of Memcached
    Be the first to leave a con
    • 2
      Only caches simple types

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    What is DalmatinerDB?

    DalmatinerDB is a no fluff purpose built metric database. Not a layer put on top of a general purpose database or datastore.

    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 tools integrate with DalmatinerDB?
    What tools integrate with Memcached?
      No integrations found

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      What are some alternatives to DalmatinerDB and Memcached?
      InfluxDB
      InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
      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 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.
      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.
      Microsoft SQL Server
      Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
      See all alternatives