DBMS > Apache Hive vs. BaseX

System Properties Comparison Apache Hive vs. BaseX

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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

Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.

Primary database model

Relational DBMS

Native XML DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	53.09
Rank	#18	Overall
	#12	Relational DBMS

Score	1.46
Rank	#147	Overall
	#4	Native XML DBMS

Website

hive.apache.org

basex.org

Technical documentation

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

docs.basex.org

Developer

Apache Software Foundation

initially developed by Facebook

BaseX GmbH

Initial release

2012

2007

Current release

3.1.3, April 2022

11.2, August 2024

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

BSD license

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

Java

Server operating systems

All OS with a Java VM

Linux
OS X
Windows

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

XQuery supports types

Secondary indexes

yes

SQL

Support of SQL

SQL-like DML and DDL statements

APIs and other access methods

JDBC
ODBC
Thrift

Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ

Supported programming languages

C++
Java
PHP
Python

Actionscript
C
C#
Haskell
Java
JavaScript

Node.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

yes

Triggers

yes

via events

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

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

Methods to ensure consistency in a distributed system

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

multiple readers, single writer

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

User concepts

Access control

Access rights for users, groups and roles

Users with fine-grained authorization concept on 4 levels

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