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DBMS > Badger vs. EJDB vs. Greenplum vs. Microsoft SQL Server vs. SQLite

System Properties Comparison Badger vs. EJDB vs. Greenplum vs. Microsoft SQL Server vs. SQLite

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEJDB  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Microsofts flagship relational DBMSWidely used embeddable, in-process RDBMS
Primary database modelKey-value storeDocument storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score0.30
Rank#294  Overall
#44  Document stores
Score9.23
Rank#47  Overall
#30  Relational DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Score116.01
Rank#10  Overall
#7  Relational DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdbgreenplum.orgwww.microsoft.com/­en-us/­sql-serverwww.sqlite.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.greenplum.orglearn.microsoft.com/­en-US/­sql/­sql-serverwww.sqlite.org/­docs.html
DeveloperDGraph LabsSoftmotionsPivotal Software Inc.MicrosoftDwayne Richard Hipp
Initial release20172012200519892000
Current release7.0.0, September 2023SQL Server 2022, November 20223.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPLv2Open Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCC++C
Server operating systemsBSD
Linux
OS X
Solaris
Windows
server-lessLinuxLinux
Windows
server-less
Data schemeschema-freeschema-freeyesyesyes infodynamic column types
Typing infopredefined data types such as float or datenoyes infostring, integer, double, bool, date, object_idyesyesyes infonot rigid because of 'dynamic typing' concept.
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 infosince Version 4.2yesno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyesyesyes infoSQL-92 is not fully supported
APIs and other access methodsin-process shared libraryJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesGoActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
Java
Perl
Python
R
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnonoyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationyes, but depending on the SQL-Server Editionnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
BadgerEJDBGreenplumMicrosoft SQL ServerSQLite
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