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DBMS > Apache Doris vs. EsgynDB vs. Trino vs. Vitess

System Properties Comparison Apache Doris vs. EsgynDB vs. Trino vs. Vitess

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonEsgynDB  Xexclude from comparisonTrino  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.esgyn.cntrino.iovitess.io
Technical documentationgithub.com/­apache/­doris/­wikitrino.io/­broadcast
trino.io/­docs/­current
vitess.io/­docs
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperApache Software Foundation, originally contributed from BaiduEsgynTrino Software FoundationThe Linux Foundation, PlanetScale
Initial release201720152012 info2020 rebranded from PrestoSQL2013
Current release1.2.2, February 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0, commercial licenses available
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 languageJavaC++, JavaJavaGo
Server operating systemsLinuxLinuxLinux
macOS infofor devlopment
Docker
Linux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesdepending on connected data-sourceyes
SQL infoSupport of SQLyesyesyesyes infowith proprietary extensions
APIs and other access methodsJDBC
MySQL client
ADO.NET
JDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJavaAll languages supporting JDBC/ODBC/ADO.NetGo
Java
JavaScript (Node.js)
Python
R
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsJava Stored Proceduresyes, depending on connected data-sourceyes infoproprietary syntax
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingdepending on connected data-sourceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersdepending on connected data-sourceMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on connected data-sourceEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDdepending on connected data-sourceACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardSQL standard access controlUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Apache DorisEsgynDBTrinoVitess
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache DorisEsgynDBTrinoVitess
Recent citations in the news

Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB?
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PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
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