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DBMS > StarRocks vs. Trino vs. Vertica

System Properties Comparison StarRocks vs. Trino vs. Vertica

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Editorial information provided by DB-Engines
NameStarRocks  Xexclude from comparisonTrino  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.95
Rank#193  Overall
#89  Relational DBMS
Score5.28
Rank#61  Overall
#35  Relational DBMS
Score9.62
Rank#42  Overall
#26  Relational DBMS
Websitewww.starrocks.iotrino.iowww.vertica.com
Technical documentationdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introtrino.io/­broadcast
trino.io/­docs/­current
vertica.com/­documentation
DeveloperThe Linux Foundation infosince Feb 2023Trino Software FoundationOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20202012 info2020 rebranded from PrestoSQL2005
Current release3.3, June 202412.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaC++
Server operating systemsLinuxLinux
macOS infofor devlopment
Linux
Data schemeyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
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-sourceNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyesyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
MySQL protocol
JDBC
RESTful HTTP API
Trino CLI
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
Python
R
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsyes, depending on connected data-sourceyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnonoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range and hash)depending on connected data-sourcehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on connected data-sourceMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on connected data-sourceImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanodepending on connected data-sourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlRole based access control and fine grained access rightsSQL standard access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
StarRocksTrinoVertica infoOpenText™ Vertica™
News

64: Control with Open Policy Agent OPA
22 August 2024

63: Querying with JS
1 August 2024

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

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More resources
StarRocksTrinoVertica infoOpenText™ Vertica™
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