SQLite vs. Hadoop vs. RocksDB

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SQLite

Hadoop

RocksDB

Favorites

70

Favorites

45

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

  • 3.74K
  • 6.33K
  • 62.3K
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  • 29
  • 38.7K
  • 326
  • 26
  • 133

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 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 RocksDB?

RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.

Pros about this tool

Pros
Why do you like SQLite?

Pros
Why do you like Hadoop?

Pros
Why do you like RocksDB?

Cons about this tool

Cons
Cons
No Cons submitted yet for Hadoop
Cons
No Cons submitted yet for RocksDB

Companies

237 Companies Using SQLite
208 Companies Using Hadoop
4 Companies Using RocksDB

Integrations

SQLite Integrations
Hadoop Integrations
No integrations listed yet

Latest News

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
All things RocksDB at Percona Live Europe 2017


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