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DBMS > EJDB vs. Microsoft Azure Cosmos DB vs. PostgreSQL vs. Valentina Server

System Properties Comparison EJDB vs. Microsoft Azure Cosmos DB vs. PostgreSQL vs. Valentina Server

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Globally distributed, horizontally scalable, multi-model database serviceWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLObject-relational database and reports server
Primary database modelDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsSpatial DBMSDocument 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
Score0.31
Rank#296  Overall
#44  Document stores
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbazure.microsoft.com/­services/­cosmos-dbwww.postgresql.orgwww.valentina-db.net
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdlearn.microsoft.com/­azure/­cosmos-dbwww.postgresql.org/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperSoftmotionsMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerParadigma Software
Initial release201220141989 info1989: Postgres, 1996: PostgreSQL1999
Current release16.3, May 20245.7.5
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC
Server operating systemsserver-lesshostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyes infoJSON typesyesyes
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.yes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLnoSQL-like query languageyes infostandard with numerous extensionsyes
APIs and other access methodsin-process shared libraryDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoJavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
TriggersnoJavaScriptyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceSource-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*nono
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
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
EJDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBPostgreSQLValentina Server
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