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DBMS > Amazon Neptune vs. Amazon Redshift vs. Trino

System Properties Comparison Amazon Neptune vs. Amazon Redshift vs. Trino

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudLarge scale data warehouse service for use with business intelligence toolsFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational 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
Score2.13
Rank#111  Overall
#9  Graph DBMS
#5  RDF stores
Score14.70
Rank#36  Overall
#22  Relational DBMS
Score5.34
Rank#60  Overall
#34  Relational DBMS
Websiteaws.amazon.com/­neptuneaws.amazon.com/­redshifttrino.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.aws.amazon.com/­redshifttrino.io/­broadcast
trino.io/­docs/­current
DeveloperAmazonAmazon (based on PostgreSQL)Trino Software Foundation
Initial release201720122012 info2020 rebranded from PrestoSQL
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemshostedhostedLinux
macOS infofor devlopment
Data schemeschema-freeyesyes
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 indexesnorestricteddepending on connected data-source
SQL infoSupport of SQLnoyes infodoes not fully support an SQL-standardyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin Pythonyes, depending on connected data-source
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yesdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoinformational only, not enforced by the systemno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardSQL standard access control
More information provided by the system vendor
Amazon NeptuneAmazon RedshiftTrino
News

73: Wrapping Trino packages with a bow
9 April 2025

Core Principles and Design Practices of OLAP Engines
27 March 2025

72: Keeping the lake clean
17 March 2025

Twenty four
3 March 2025

71: Fake it real good
27 February 2025

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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 NeptuneAmazon RedshiftTrino
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