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DBMS > EJDB vs. LeanXcale vs. Microsoft SQL Server vs. PostGIS

System Properties Comparison EJDB vs. LeanXcale vs. Microsoft SQL Server vs. PostGIS

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesMicrosofts flagship relational DBMSSpatial extension of PostgreSQL
Primary database modelDocument storeKey-value store
Relational DBMS
Relational DBMSSpatial DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#331  Overall
#46  Document stores
Score0.28
Rank#286  Overall
#41  Key-value stores
#130  Relational DBMS
Score807.76
Rank#3  Overall
#3  Relational DBMS
Score20.16
Rank#29  Overall
#1  Spatial DBMS
Websitegithub.com/­Softmotions/­ejdbwww.leanxcale.comwww.microsoft.com/­en-us/­sql-serverpostgis.net
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdlearn.microsoft.com/­en-US/­sql/­sql-serverpostgis.net/­documentation
DeveloperSoftmotionsLeanXcaleMicrosoft
Initial release2012201519892005
Current releaseSQL Server 2022, November 20223.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoGPLv2commercialcommercial inforestricted free version is availableOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C
Server operating systemsserver-lessLinux
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyes
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
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infothrough Apache Derbyyesyes
APIs and other access methodsin-process shared libraryJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
Java
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, but depending on the SQL-Server Editionyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
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.yesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes infobased on PostgreSQL

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More resources
EJDBLeanXcaleMicrosoft SQL ServerPostGIS
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