SQLite vs. Hadoop vs. IBM DB2

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SQLite

Hadoop

IBM DB2

Favorites

70

Favorites

45

Favorites

7

Hacker News, Reddit, Stack Overflow Stats

  • 3.74K
  • 6.9K
  • 62.8K
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  • 29
  • 38.9K
  • -
  • 1.37K
  • 8.58K

GitHub Stats

No public GitHub repository stats available
No public GitHub repository stats available

Description

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.

What is IBM DB2?

DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.

Pros about this tool

Pros
Why do you like SQLite?

Pros
Why do you like Hadoop?

Pros
Why do you like IBM DB2?

Cons about this tool

Cons
Cons
No Cons submitted yet for Hadoop
Cons
No Cons submitted yet for IBM DB2

Companies

242 Companies Using SQLite
209 Companies Using Hadoop
7 Companies Using IBM DB2

Integrations

SQLite Integrations
Hadoop Integrations
IBM DB2 Integrations

What are some alternatives to SQLite, Hadoop, and IBM DB2?

  • MySQL - The world's most popular open source database
  • PostgreSQL - A powerful, open source object-relational database system
  • MongoDB - The database for giant ideas
  • Microsoft SQL Server - A relational database management system developed by Microsoft

See all alternatives to SQLite

Latest News

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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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