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DBMS > Badger vs. EJDB vs. Firebird vs. Microsoft SQL Server vs. SwayDB

System Properties Comparison Badger vs. EJDB vs. Firebird vs. Microsoft SQL Server vs. SwayDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEJDB  Xexclude from comparisonFirebird  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSwayDB  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)Firebird is an open source RDBMS forked from Borland's InterBaseMicrosofts flagship relational DBMSAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelKey-value storeDocument storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.31
Rank#296  Overall
#44  Document stores
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitegithub.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdbwww.firebirdsql.orgwww.microsoft.com/­en-us/­sql-serverswaydb.simer.au
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.firebirdsql.org/­en/­reference-manualslearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperDGraph LabsSoftmotionsFirebird FoundationMicrosoftSimer Plaha
Initial release201720122000 infoAs fork of Borland's InterBase19892018
Current release5.0.0, January 2024SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPLv2Open Source infoInitial Developer's Public Licensecommercial inforestricted free version is availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCC and C++C++Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
server-lessAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyes infostring, integer, double, bool, date, object_idyesyesno
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.noyesno
Secondary indexesnonoyesyesno
SQL infoSupport of SQLnonoyesyesno
APIs and other access methodsin-process shared libraryADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesGoActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnonoPSQLTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonenonetables 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 methodsnonononono
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 possibleyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
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.noyesyes
User concepts infoAccess controlnonoUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardno

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More resources
BadgerEJDBFirebirdMicrosoft SQL ServerSwayDB
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