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DBMS > Amazon DocumentDB vs. OpenMLDB vs. Trino

System Properties Comparison Amazon DocumentDB vs. OpenMLDB vs. Trino

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonOpenMLDB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn open-source machine learning database that provides a feature platform for training and inferenceFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument storeTime Series DBMSRelational DBMS
Secondary database modelsRelational 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
Score1.88
Rank#124  Overall
#22  Document stores
Score0.08
Rank#343  Overall
#30  Time Series DBMS
Score5.47
Rank#62  Overall
#35  Relational DBMS
Websiteaws.amazon.com/­documentdbopenmldb.aitrino.io
Technical documentationaws.amazon.com/­documentdb/­resourcesopenmldb.ai/­docs/­zh/­maintrino.io/­broadcast
trino.io/­docs/­current
Developer4 Paradigm Inc.Trino Software Foundation
Initial release201920202012 info2020 rebranded from PrestoSQL
Current release2024-2 February 2024
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, ScalaJava
Server operating systemshostedLinuxLinux
macOS infofor devlopment
Data schemeschema-freeFixed schemayes
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 indexesyesyesdepending on connected data-source
SQL infoSupport of SQLnoyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
SQLAlchemy
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Go
Java
Python
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyes, depending on connected data-source
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesdepending 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 rolesfine grained access rights according to SQL-standardSQL standard access control
More information provided by the system vendor
Amazon DocumentDBOpenMLDBTrino
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More resources
Amazon DocumentDBOpenMLDBTrino
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