IBM DB2 vs. CrateIO vs. Memcached

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Description

What is IBM DB2?

DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.

What is CrateIO?

Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.

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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Pros

Why do developers choose IBM DB2?
Why do you like IBM DB2?

Why do developers choose CrateIO?
Why do you like CrateIO?

Why do developers choose Memcached?
Why do you like Memcached?

Cons

What are the cons of using IBM DB2?
No Cons submitted yet for IBM DB2
Downsides of IBM DB2?

What are the cons of using CrateIO?
No Cons submitted yet for CrateIO
Downsides of CrateIO?

What are the cons of using Memcached?
No Cons submitted yet for Memcached
Downsides of Memcached?

Companies

What companies use IBM DB2?
7 companies on StackShare use IBM DB2
What companies use CrateIO?
0 companies on StackShare use CrateIO
What companies use Memcached?
684 companies on StackShare use Memcached

Integrations

What tools integrate with IBM DB2?
13 tools on StackShare integrate with IBM DB2
What tools integrate with CrateIO?
2 tools on StackShare integrate with CrateIO
What tools integrate with Memcached?
14 tools on StackShare integrate with Memcached

What are some alternatives to IBM DB2, CrateIO, and Memcached?

  • MySQL - The world's most popular open source database
  • PostgreSQL - A powerful, open source object-relational database system
  • MongoDB - The database for giant ideas
  • Microsoft SQL Server - A relational database management system developed by Microsoft

See all alternatives to IBM DB2

Latest News

Deploying Memcached on Kubernetes Engine: tutorial


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