DBMS > Apache Hive vs. BaseX vs. Trino

System Properties Comparison Apache Hive vs. BaseX vs. Trino

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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.

Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL

Primary database model

Relational DBMS

Native XML DBMS

Relational DBMS

Secondary database models

Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store

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

Score	56.87
Rank	#18	Overall
	#12	Relational DBMS

Score	1.43
Rank	#147	Overall
	#4	Native XML DBMS

Score	5.40
Rank	#61	Overall
	#35	Relational DBMS

Website

hive.apache.org

basex.org

trino.io

Technical documentation

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

docs.basex.org

trino.io/broadcast
trino.io/docs/current

Developer

Apache Software Foundation

initially developed by Facebook

BaseX GmbH

Trino Software Foundation

Initial release

2012

2007

2012

2020 rebranded from PrestoSQL

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

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

All OS with a Java VM

Linux
OS X
Windows

Linux
macOS

for devlopment

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

XQuery supports types

yes

XML support

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

depending on connected data-source

SQL

Support of SQL

SQL-like DML and DDL statements

yes

APIs and other access methods

JDBC
ODBC
Thrift

Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ

JDBC
RESTful HTTP API
Trino CLI

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

Go
Java
JavaScript (Node.js)
Python
R
Ruby

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

yes

yes, depending on connected data-source

Triggers

yes

via events

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

depending on connected data-source

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

none

depending on connected data-source

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

depending on connected data-source

Foreign keys

Referential integrity

Transaction concepts

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

multiple readers, single writer

depending on connected data-source

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

depending on connected data-source

User concepts

Access control

Access rights for users, groups and roles

Users with fine-grained authorization concept on 4 levels

SQL standard access control

More information provided by the system vendor

News

68: Year of the Snake - Python UDFs
16 January 2025

Trino in 2024 and beyond
7 January 2025

Trino Summit 2024 resources
18 December 2024

The long journey to Apache Ranger
2 December 2024

The glorious lineup for Trino Summit 2024
22 November 2024

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