MongoDB vs. SQLite vs. Hadoop

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MongoDB

SQLite

Hadoop

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420

Favorites

70

Favorites

45

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  • 38.9K

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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 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.

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.

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Cons about this tool

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Pricing

MongoDB Pricing

Companies

1813 Companies Using MongoDB
242 Companies Using SQLite
210 Companies Using Hadoop

Integrations

MongoDB Integrations
SQLite Integrations
Hadoop Integrations

What are some alternatives to MongoDB, SQLite, and Hadoop?

  • MySQL - The world's most popular open source database
  • PostgreSQL - A powerful, open source object-relational database system
  • Microsoft SQL Server - A relational database management system developed by Microsoft
  • MariaDB - An enhanced, drop-in replacement for MySQL

See all alternatives to MongoDB

Latest News

Sharded replica sets - MySQL and MongoDB
This Week in Data with Colin Charles 28: Percona Liv...
Performing a Live Migration from a MongoDB Cluster t...
orchestrator 3.0.2 GA released: raft consensus, SQLite
Using Active Record migrations beyond SQLite
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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