MongoDB vs. Hadoop vs. SQLite

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MongoDB

Hadoop

SQLite

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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 SQLite?

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

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Latest News

Sharded replica sets - MySQL and MongoDB
This Week in Data with Colin Charles 28: Percona Liv...
MongoDB’s Drive to Multi-Document Transactions
Introducing Spark Structured Streaming Support in ES...
Spring for Apache Hadoop 2.5.0 GA released
Spring for Apache Hadoop 2.5.0.RC1 released
orchestrator 3.0.2 GA released: raft consensus, SQLite
Using Active Record migrations beyond SQLite


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