SQLite vs. Hazelcast vs. Hadoop

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Heads up: you're comparing apples to oranges. Tools belonging to different groups are often not directly comparable because they usually have different intended purposes and benefits.

SQLite

Hazelcast

Hadoop

Favorites

66

Favorites

8

Favorites

43

Hacker News, Reddit, Stack Overflow Stats

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GitHub Stats

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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 Hazelcast?

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

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.

Pros about this tool

Why do you like SQLite?

Why do you like Hazelcast?

Why do you like Hadoop?

Cons about this tool

Pricing

Hazelcast Pricing

Customers

Integrations

Latest News

orchestrator 3.0.2 GA released: raft consensus, SQLite
Using Active Record migrations beyond SQLite
Spring Integration Extension for Hazelcast 1.0.0 GA ...
Build a Spring Boot API with Hazelcast for Cached Us...
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


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