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DBMS > jBASE vs. Microsoft Azure Cosmos DB vs. MongoDB vs. OrientDB vs. PostgreSQL

System Properties Comparison jBASE vs. Microsoft Azure Cosmos DB vs. MongoDB vs. OrientDB vs. PostgreSQL

Editorial information provided by DB-Engines
NamejBASE  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMongoDB  Xexclude from comparisonOrientDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionA robust multi-value DBMS comprising development tools and middlewareGlobally distributed, horizontally scalable, multi-model database serviceOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureMulti-model DBMS (Document, Graph, Key/Value)Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelMultivalue DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Document storeDocument store
Graph DBMS
Key-value store
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsSpatial DBMSSpatial 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
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score421.65
Rank#5  Overall
#1  Document stores
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseazure.microsoft.com/­services/­cosmos-dbwww.mongodb.comorientdb.orgwww.postgresql.org
Technical documentationdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9learn.microsoft.com/­azure/­cosmos-dbwww.mongodb.com/­docs/­manualwww.orientdb.com/­docs/­last/­index.htmlwww.postgresql.org/­docs
DeveloperRocket Software (formerly Zumasys)MicrosoftMongoDB, IncOrientDB LTD; CallidusCloud; SAPPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release19912014200920101989 info1989: Postgres, 1996: PostgreSQL
Current release5.76.0.7, June 20233.2.29, March 202416.2, February 2024
License infoCommercial or Open SourcecommercialcommercialOpen 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 2Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesno infoMongoDB available as DBaaS (MongoDB Atlas)nono
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.Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Implementation languageC++JavaC
Server operating systemsAIX
Linux
Windows
hostedLinux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeschema-freeschema-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.schema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
Typing infopredefined data types such as float or dateoptionalyes infoJSON typesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes
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.yesnoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyes infoAll properties auto-indexed by defaultyesyesyes
SQL infoSupport of SQLEmbedded SQL for jBASE in BASICSQL-like query languageRead-only SQL queries via the MongoDB Atlas SQL InterfaceSQL-like query language, no joinsyes infostandard with numerous extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
Basic
Jabbascript
Java
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
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
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesJavaScriptJavaScriptJava, Javascriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
TriggersyesJavaScriptyes infoin MongoDB Atlas onlyHooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Shardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Multi-source replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yesno infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate Consistency
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possibleyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-item ACID transactions with snapshot isolation within a partitionMulti-document ACID Transactions with snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlAccess rights can be defined down to the item levelAccess rights can be defined down to the item levelAccess rights for users and rolesAccess rights for users and roles; record level security configurablefine grained access rights according to SQL-standard
More information provided by the system vendor
jBASEMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMongoDBOrientDBPostgreSQL
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
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Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
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Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
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Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
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Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
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More resources
jBASEMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMongoDBOrientDBPostgreSQL
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