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HarperDB

5
16
+ 1
1
Memcached

6.8K
4.9K
+ 1
470
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HarperDB vs Memcached: What are the differences?

What is HarperDB? IoT Database that runs from the edge to the cloud. HarperDB is a database that optimizes the data value chain for any size company without sacrificing features, functionality and stability. HarperDB is designed to run from the edge to the cloud. HarperDB was founded in Denver, CO with the belief that database architecture can be simple and accessible to everyone.

What is Memcached? 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.

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

Memcached is an open source tool with 9K GitHub stars and 2.6K GitHub forks. Here's a link to Memcached's open source repository on GitHub.

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Pros of HarperDB
Pros of Memcached
  • 1
    Data api
  • 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 HarperDB
Cons of Memcached
    Be the first to leave a con
    • 2
      Only caches simple types

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    - No public GitHub repository available -

    What is HarperDB?

    The HarperDB software runs on anything with an operating system, and allows developers to collect, process and distribute data from the edge to cloud. HarperDB leverages standard interfaces that you already know along with REST API.

    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 HarperDB?
    What tools integrate with Memcached?

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    Blog Posts

    Dec 22 2020 at 9:26PM

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    What are some alternatives to HarperDB and Memcached?
    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.
    Hadoop
    The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
    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.
    See all alternatives