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DBMS > Datomic vs. Greenplum vs. MonetDB vs. MongoDB vs. Trino

System Properties Comparison Datomic vs. Greenplum vs. MonetDB vs. MongoDB vs. Trino

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGreenplum  Xexclude from comparisonMonetDB  Xexclude from comparisonMongoDB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A relational database management system that stores data in columnsOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
Document 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
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score421.08
Rank#5  Overall
#1  Document stores
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websitewww.datomic.comgreenplum.orgwww.monetdb.orgwww.mongodb.comtrino.io
Technical documentationdocs.datomic.comdocs.greenplum.orgwww.monetdb.org/­Documentationwww.mongodb.com/­docs/­manualtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperCognitectPivotal Software Inc.MonetDB BVMongoDB, IncTrino Software Foundation
Initial release20122005200420092012 info2020 rebranded from PrestoSQL
Current release1.0.7075, December 20237.0.0, September 2023Dec2023 (11.49), December 20236.0.7, June 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • MongoDB Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
  • MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJava, ClojureCC++Java
Server operating systemsAll OS with a Java VMLinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
macOS infofor devlopment
Data schemeyesyesyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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.noyes infosince Version 4.2no
Secondary indexesyesyesyesyesdepending on connected data-source
SQL infoSupport of SQLnoyesyes infoSQL 2003 with some extensionsRead-only SQL queries via the MongoDB Atlas SQL Interfaceyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesClojure
Java
C
Java
Perl
Python
R
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyes, in SQL, C, RJavaScriptyes, depending on connected data-source
TriggersBy using transaction functionsyesyesyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding via remote tablesSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.depending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationnone infoSource-replica replication available in experimental statusMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
depending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
depending on connected data-source
Foreign keys infoReferential integritynoyesyesno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDMulti-document ACID Transactions with snapshot isolationdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infooptional, enabled by defaultdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and rolesSQL standard access control
More information provided by the system vendor
DatomicGreenplumMonetDBMongoDBTrino
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Trino is widely adopted across the globe as freely-available open source software....
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» more
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6 June 2024

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22 May 2024

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24 April 2024

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15 April 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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