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DBMS > Datomic vs. MongoDB vs. Oracle

System Properties Comparison Datomic vs. MongoDB vs. Oracle

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMongoDB  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureWidely used RDBMS
Primary database modelRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.82
Rank#127  Overall
#62  Relational DBMS
Score493.55
Rank#5  Overall
#1  Document stores
Score1270.35
Rank#1  Overall
#1  Relational DBMS
Websitewww.datomic.comwww.mongodb.comwww.oracle.com/­database
Technical documentationdocs.datomic.comdocs.mongodb.com/­manualdocs.oracle.com/­en/­database
DeveloperCognitectMongoDB, IncOracle
Initial release201220091980
Current release0.9.5951, July 20195.0, July 202119c, February 2019
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenono 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 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.
  • ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageJava, ClojureC++C and C++
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesschema-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 infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or dateyesyes 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
Secondary indexesyesyesyes
SQL infoSupport of SQLnoRead-only SQL queries via the MongoDB Connector for BIyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIproprietary protocol using JSONJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesClojure
Java
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
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
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJavaScriptPL/SQL infoalso stored procedures in Java possible
TriggersBy using transaction functionsyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolationACID infoisolation level can be parameterized
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infooptional, enabled by defaultyes
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 developmentyes infoIn-memory storage engine introduced with MongoDB version 3.2yes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlnoAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
DatomicMongoDBOracle
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
DatomicMongoDBOracle
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