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DBMS > Amazon Aurora vs. HEAVY.AI vs. Trino vs. VictoriaMetrics

System Properties Comparison Amazon Aurora vs. HEAVY.AI vs. Trino vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonTrino  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeSpatial DBMSDocument 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
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websiteaws.amazon.com/­rds/­auroragithub.com/­heavyai/­heavydb
www.heavy.ai
trino.iovictoriametrics.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.heavy.aitrino.io/­broadcast
trino.io/­docs/­current
docs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperAmazonHEAVY.AI, Inc.Trino Software FoundationVictoriaMetrics
Initial release201520162012 info2020 rebranded from PrestoSQL2018
Current release5.10, January 2022v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageC++ and CUDAJavaGo
Server operating systemshostedLinuxLinux
macOS infofor devlopment
FreeBSD
Linux
macOS
OpenBSD
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.yesnonono
Secondary indexesyesnodepending on connected data-source
SQL infoSupport of SQLyesyesyesno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
Thrift
Vega
JDBC
RESTful HTTP API
Trino CLI
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyesnoyes, depending on connected data-sourceno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoRound robindepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationdepending on connected data-sourceSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on connected data-sourceEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnodepending on connected data-sourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardSQL standard access control
More information provided by the system vendor
Amazon AuroraHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022TrinoVictoriaMetrics
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
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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
Amazon AuroraHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022TrinoVictoriaMetrics
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