DBMS > Hive vs. SQLite

System Properties Comparison Hive vs. SQLite

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Editorial information provided by DB-Engines

Name

Description

data warehouse software for querying and managing large distributed datasets, built on Hadoop

Widely used in-process RDBMS

Primary database model

Relational DBMS

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Score	75.29
Rank	#15	Overall
	#10	Relational DBMS

Score	126.82
Rank	#9	Overall
	#6	Relational DBMS

Website

hive.apache.org

www.sqlite.org

Technical documentation

cwiki.apache.org/confluence/display/Hive/Home

www.sqlite.org/docs.html

Developer

Apache Software Foundation info

initially developed by Facebook

Dwayne Richard Hipp

Initial release

2012

2000

Current release

3.1.2, August 2019

3.32.2 (June 4, 2020), June 2020

License

Commercial or Open Source

Open Source info

Apache Version 2

Open Source info

Public Domain

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

All OS with a Java VM

server-less

Data scheme

yes

dynamic column types

Typing

predefined data types such as float or date

yes

not rigid because of 'dynamic typing' concept.

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

SQL-like DML and DDL statements

yes

SQL-92 is not fully supported

APIs and other access methods

JDBC
ODBC
Thrift

ADO.NET

inofficial driver
JDBC info

inofficial driver
ODBC info

inofficial driver

Supported programming languages

C++
Java
PHP
Python

Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl

Server-side scripts info

Stored procedures

yes

user defined functions and integration of map-reduce

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

none

Replication methods info

Methods for redundantly storing data on multiple nodes

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency info

Support for concurrent manipulation of data

yes

via file-system locks

Durability info

Support for making data persistent

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts info

Access control

Access rights for users, groups and roles

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