Memcached vs. Hadoop vs. FoundationDB

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Memcached

Hadoop

FoundationDB

Favorites

68

Favorites

45

Favorites

4

Hacker News, Reddit, Stack Overflow Stats

  • 3
  • 11
  • 4.8K
  • -
  • 29
  • 38.7K
  • 542
  • 206
  • 17

GitHub Stats

No public GitHub repository stats available

Description

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.

What is 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.

What is FoundationDB?

FoundationDB is a NoSQL database with a shared nothing architecture. Designed around a "core" ordered key-value database, additional features and data models are supplied in layers. The key-value database, as well as all layers, supports full, cross-key and cross-server ACID transactions.

Pros about this tool

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Why do you like Memcached?

Pros
Why do you like Hadoop?

Pros
Why do you like FoundationDB?

Pricing

FoundationDB Pricing

Companies

639 Companies Using Memcached
208 Companies Using Hadoop
1 Companies Using FoundationDB

Integrations

Memcached Integrations
Hadoop Integrations
No integrations listed yet

Latest News

Deploying Memcached on Kubernetes Engine: tutorial
Elasticsearch for Apache Hadoop 6.2.0 Released
How to Get Hadoop Data into a Python Model
Elasticsearch for Apache Hadoop 6.0.0 GA is Released


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