MongoDB vs. Microsoft SQL Server vs. Memcached

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MongoDB

Microsoft SQL Server

Memcached

Favorites

418

Favorites

30

Favorites

68

Hacker News, Reddit, Stack Overflow Stats

  • 623
  • 599
  • 104K
  • 22K
  • 29.7K
  • 0
  • 3
  • 11
  • 4.81K

GitHub Stats

No public GitHub repository stats available

Description

What is 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.

What is Microsoft SQL Server?

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

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.

Pros about this tool

Pros
Why do you like MongoDB?

Pros
Why do you like Microsoft SQL Server?

Pros
Why do you like Memcached?

Cons about this tool

Cons
Cons
No Cons submitted yet for Microsoft SQL Server
Cons
No Cons submitted yet for Memcached

Pricing

MongoDB Pricing

Companies

1808 Companies Using MongoDB
376 Companies Using Microsoft SQL Server
657 Companies Using Memcached

Integrations

MongoDB Integrations
Microsoft SQL Server Integrations
Memcached Integrations

What are some alternatives to MongoDB, Microsoft SQL Server, and Memcached?

  • MySQL - The world's most popular open source database
  • PostgreSQL - A powerful, open source object-relational database system
  • MariaDB - An enhanced, drop-in replacement for MySQL
  • SQLite - A software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine

See all alternatives to MongoDB

Latest News

Sharded replica sets - MySQL and MongoDB
This Week in Data with Colin Charles 28: Percona Liv...
Performing a Live Migration from a MongoDB Cluster t...
Microsoft SQL Server cookbook release – 5.4.0
Deploying Memcached on Kubernetes Engine: tutorial


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