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DBMS > Hive vs. Teradata vs. Trino

System Properties Comparison Hive vs. Teradata vs. Trino

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonTeradata  Xexclude from comparisonTrino  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA hybrid cloud data analytics software platform (Teradata Vantage)Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score57.29
Rank#19  Overall
#13  Relational DBMS
Score44.52
Rank#22  Overall
#15  Relational DBMS
Score5.44
Rank#59  Overall
#34  Relational DBMS
Websitehive.apache.orgwww.teradata.comtrino.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.teradata.comtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperApache Software Foundation infoinitially developed by FacebookTeradataTrino Software Foundation
Initial release201219842012 info2020 rebranded from PrestoSQL
Current release3.1.3, April 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJavaJava
Server operating systemsAll OS with a Java VMhosted
Linux
Linux
macOS infofor devlopment
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesno
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexdepending on connected data-source
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL 2016 + extensionsyes
APIs and other access methodsJDBC
ODBC
Thrift
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC++
Java
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoUDFs, stored procedures, table functions in parallelyes, depending on connected data-source
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoHashingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
depending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardSQL standard access control
More information provided by the system vendor
HiveTeradataTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
News

62: A lakehouse that simply works at Prezi
11 July 2024

Announcing Trino Summit 2024
11 July 2024

Trino Fest 2024 recap
24 June 2024

61: Trino powers business intelligence
20 June 2024

One busy week to go before Trino Fest 2024
6 June 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HiveTeradataTrino
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Recent citations in the news

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13 July 2024, American Banking and Market News

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10 July 2024, GlobeNewswire

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