MongoDB vs. Hadoop vs. Cassandra

Get help choosing one of these Get news updates about these tools


MongoDB

Hadoop

Cassandra

Favorites

407

Favorites

44

Favorites

56

Hacker News, Reddit, Stack Overflow Stats

  • 623
  • 555
  • 99.9K
  • -
  • 29
  • 38.2K
  • -
  • 24
  • 14.5K

GitHub Stats

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 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 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.

Pros about this tool

Why do you like MongoDB?

Why do you like Hadoop?

Why do you like Cassandra?

Cons about this tool

Customers

Integrations

Latest News

This Week in Data with Colin Charles 28: Percona Liv...
MongoDB Drops ACID
MongoDB’s Drive to Multi-Document Transactions
How to Get Hadoop Data into a Python Model
Introducing Spark Structured Streaming Support in ES...
Spring for Apache Hadoop 2.5.0 GA released
Cassandra Load Testing with Groovy
Using Instaclustr and Cassandra with Kong
Cassandra Query Language


Interest Over Time


Get help choosing one of these