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DBMS > EJDB vs. Microsoft SQL Server vs. PostgreSQL vs. Quasardb vs. Warp 10

System Properties Comparison EJDB vs. Microsoft SQL Server vs. PostgreSQL vs. Quasardb vs. Warp 10

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPostgreSQL  Xexclude from comparisonQuasardb  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Microsofts flagship relational DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLDistributed, high-performance timeseries databaseTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
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
Score0.27
Rank#297  Overall
#44  Document stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitegithub.com/­Softmotions/­ejdbwww.microsoft.com/­en-us/­sql-serverwww.postgresql.orgquasar.aiwww.warp10.io
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdlearn.microsoft.com/­en-US/­sql/­sql-serverwww.postgresql.org/­docsdoc.quasar.ai/­masterwww.warp10.io/­content/­02_Getting_started
DeveloperSoftmotionsMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerquasardbSenX
Initial release201219891989 info1989: Postgres, 1996: PostgreSQL20092015
Current releaseSQL Server 2022, November 202216.3, May 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoGPLv2commercial inforestricted free version is availableOpen Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++CC++Java
Server operating systemsserver-lessLinux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyes infointeger and binaryyes
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.yesyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesnoyesyesyes infowith tagsno
SQL infoSupport of SQLnoyesyes infostandard with numerous extensionsSQL-like query languageno
APIs and other access methodsin-process shared libraryADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIHTTP API
Jupyter
WebSocket
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes infoWarpScript
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationpartitioning by range, list and (since PostgreSQL 11) by hashSharding infoconsistent hashingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, but depending on the SQL-Server EditionSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication with selectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modeyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
EJDBMicrosoft SQL ServerPostgreSQLQuasardbWarp 10
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