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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. LiteDB vs Memcached

LiteDB vs Memcached

OverviewComparisonAlternatives

Overview

Memcached
Memcached
Stacks7.9K
Followers5.7K
Votes473
GitHub Stars14.0K
Forks3.3K
LiteDB
LiteDB
Stacks48
Followers187
Votes24

LiteDB vs Memcached: What are the differences?

Introduction

In this article, we will discuss the key differences between LiteDB and Memcached. Both are popular technologies used for data storage and caching purposes, but they have distinct features and use cases.

  1. Persistence: LiteDB is a fully embedded NoSQL database that provides persistence, meaning the data is stored on disk and will survive application restarts. On the other hand, Memcached is an in-memory caching system that does not provide persistence. Data stored in Memcached is lost if the server is restarted.

  2. Data Model: LiteDB is a document-oriented database that stores data in a hierarchical manner using JSON-like documents. It supports rich querying capabilities and indexing. In contrast, Memcached is a key-value caching system where data is stored and accessed using key-value pairs. It does not have built-in support for querying or indexing.

  3. Data Size and Scalability: LiteDB is designed to handle small to medium-sized datasets with a single instance approach, making it suitable for desktop and mobile applications. On the other hand, Memcached is designed for large-scale applications, capable of handling huge datasets by distributing the data among multiple nodes in a cluster.

  4. Data Consistency: LiteDB provides strong data consistency, ensuring that once a write operation is committed, subsequent read operations will reflect the latest state of the data. In contrast, Memcached values can be overwritten or evicted from cache based on expiration times or memory constraints, resulting in potential data inconsistency.

  5. Data Access: LiteDB supports both synchronous and asynchronous access to data, providing flexibility in how data can be retrieved and manipulated. Memcached, on the other hand, is primarily designed for fast in-memory caching and does not provide extensive data manipulation capabilities.

  6. Data Types: LiteDB supports various data types, including strings, integers, dates, arrays, and even binary data. It also provides support for custom data types and serialization. Memcached, on the other hand, treats all data as a byte array, giving developers the flexibility to store any type of data but requiring manual serialization and deserialization.

In Summary, LiteDB is a document-oriented database that provides persistence, rich querying capabilities, and supports different data types. Memcached, on the other hand, is an in-memory caching system designed for scalability and high-performance caching, but lacks persistence and querying capabilities.

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Detailed Comparison

Memcached
Memcached
LiteDB
LiteDB

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.

Embedded NoSQL database for .NET. An open source MongoDB-like database with zero configuration - mobile ready

-
Standalone database; Fast and lightweight; Free for everyone, including commercial use
Statistics
GitHub Stars
14.0K
GitHub Stars
-
GitHub Forks
3.3K
GitHub Forks
-
Stacks
7.9K
Stacks
48
Followers
5.7K
Followers
187
Votes
473
Votes
24
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
  • 6
    No Sql
  • 5
    Portable
  • 4
    Easy to use
  • 3
    Document oriented storage
  • 2
    Open Source
Cons
  • 2
    Needs more real world examples
  • 2
    Online documentation needs improvement
Integrations
No integrations available
.NET
.NET

What are some alternatives to Memcached, LiteDB?

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.

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.

InfluxDB

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.

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