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DBMS > openGauss vs. Trino vs. YugabyteDB

System Properties Comparison openGauss vs. Trino vs. YugabyteDB

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Editorial information provided by DB-Engines
NameopenGauss  Xexclude from comparisonTrino  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitegitee.com/­opengauss
opengauss.org
trino.iowww.yugabyte.com
Technical documentationdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
trino.io/­broadcast
trino.io/­docs/­current
docs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperHuawei and openGauss communityTrino Software FoundationYugabyte Inc.
Initial release20192012 info2020 rebranded from PrestoSQL2017
Current release3.0, March 20222.19, September 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2.0Open Source infoApache 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.YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageC, C++, JavaJavaC and C++
Server operating systemsLinuxLinux
macOS infofor devlopment
Linux
OS X
Data schemeyesyesdepending on used data model
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.nonono
Secondary indexesyesdepending on connected data-sourceyes
SQL infoSupport of SQLANSI SQL 2011yesyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC
C++
Java
Go
Java
JavaScript (Node.js)
Python
R
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyesyes, depending on connected data-sourceyes infosql, plpgsql, C
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash)depending on connected data-sourceHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationdepending on connected data-sourceBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on connected data-sourceStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDdepending on connected data-sourceDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesdepending on connected data-sourceyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardSQL standard access controlyes
More information provided by the system vendor
openGaussTrinoYugabyteDB
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Systems of record and engagement for cloud native applications that require resilience,...
» 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
2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
Apache 2.0 license for the database
» more
News

59: Querying Trino with Java and jOOQ
24 April 2024

A sneak peek of Trino Fest 2024
15 April 2024

Time travel in Delta Lake connector
11 April 2024

58: Understanding your users with Trino and Mitzu
4 April 2024

57: Seeing clearly with OpenTelemetry
14 March 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
openGaussTrinoYugabyteDB
Recent citations in the news

openGauss Open Source Community Officially Launch
1 July 2020, huawei.com

The openGauss powers database industry forward through innovation
6 January 2022, Global Times

Huawei's Four Open Source Basic Software Projects Infuse Diversified Computing Power into Every Line of Code
12 October 2020, PR Newswire

An Industrial bank joins Huawei openGauss database community
7 December 2022, HC Newsroom

About HUAWEI Open Source
9 February 2022, huawei.com

provided by Google News

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