Hadoop vs. MongoDB vs. Oracle

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


Hadoop

MongoDB

Oracle

Favorites

43

Favorites

388

Favorites

20

Hacker News, Reddit, Stack Overflow Stats

  • -
  • 29
  • 37.1K
  • 623
  • 535
  • 95.2K
  • 1.63K
  • 3.01K
  • 94.3K

GitHub Stats

No public GitHub repository stats available

Description

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 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 Oracle?

Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.

Pros about this tool

Why do you like Hadoop?

Why do you like MongoDB?

Why do you like Oracle?

Cons about this tool

Customers

Integrations

Latest News

Introducing Spark Structured Streaming Support in ES...
Spring for Apache Hadoop 2.5.0 GA released
Elasticsearch for Apache Hadoop 5.5.0
This Week in Data with Colin Charles 28: Percona Liv...
MongoDB Drops ACID
MongoDB’s Drive to Multi-Document Transactions


Interest Over Time


Get help choosing one of these