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DBMS > Dgraph vs. Hive vs. Sequoiadb vs. Trino

System Properties Comparison Dgraph vs. Hive vs. Sequoiadb vs. Trino

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHive  Xexclude from comparisonSequoiadb  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSdata warehouse software for querying and managing large distributed datasets, built on HadoopNewSQL database with distributed OLTP and SQLFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelGraph DBMSRelational DBMSDocument store
Relational DBMS
Relational DBMS
Secondary database modelsDocument 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
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitedgraph.iohive.apache.orgwww.sequoiadb.comtrino.io
Technical documentationdgraph.io/­docscwiki.apache.org/­confluence/­display/­Hive/­Homewww.sequoiadb.com/­en/­index.php?m=Files&a=indextrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperDgraph Labs, Inc.Apache Software Foundation infoinitially developed by FacebookSequoiadb Ltd.Trino Software Foundation
Initial release2016201220132012 info2020 rebranded from PrestoSQL
Current release3.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoServer: AGPL; Client: Apache V2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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 languageGoJavaC++Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinuxLinux
macOS infofor devlopment
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regexyes
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.nonono
Secondary indexesyesyesyesdepending on connected data-source
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
Thrift
proprietary protocol using JSONJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
PHP
Python
.Net
C++
Java
PHP
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceJavaScriptyes, depending on connected data-source
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftselectable replication factorSource-replica replicationdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistencydepending on connected data-source
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoDocument is locked during a transactiondepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users, groups and rolessimple password-based access controlSQL standard access control
More information provided by the system vendor
DgraphHiveSequoiadbTrino
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

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22 May 2024

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8 May 2024

59: Querying Trino with Java and jOOQ
24 April 2024

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15 April 2024

Time travel in Delta Lake connector
11 April 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
DgraphHiveSequoiadbTrino
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