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DBMS > Badger vs. DataFS vs. Spark SQL vs. SQLite vs. Yanza

System Properties Comparison Badger vs. DataFS vs. Spark SQL vs. SQLite vs. Yanza

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDataFS  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQLite  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Spark SQL is a component on top of 'Spark Core' for structured data processingWidely used embeddable, in-process RDBMSTime Series DBMS for IoT Applications
Primary database modelKey-value storeObject oriented DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websitegithub.com/­dgraph-io/­badgernewdatabase.comspark.apache.org/­sqlwww.sqlite.orgyanza.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdev.mobiland.com/­Overview.xspspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.sqlite.org/­docs.html
DeveloperDGraph LabsMobiland AGApache Software FoundationDwayne Richard HippYanza
Initial release20172018201420002015
Current release1.1.263, October 20223.5.0 ( 2.13), September 20233.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoPublic Domaincommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScalaC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
WindowsLinux
OS X
Windows
server-lessWindows
Data schemeschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyes infodynamic column typesschema-free
Typing infopredefined data types such as float or datenoyesyesyes infonot rigid because of 'dynamic typing' concept.no
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.nonononono
Secondary indexesnononoyesno
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyes infoSQL-92 is not fully supportedno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
HTTP API
Supported programming languagesGo.Net
C
C#
C++
VB.Net
Java
Python
R
Scala
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
any language that supports HTTP calls
Server-side scripts infoStored proceduresnononono
Triggersnono, except callback-events from server when changes happenednoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneProprietary Sharding systemyes, utilizing Spark Corenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
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.nononoyes
User concepts infoAccess controlnoWindows-Profilenonono

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More resources
BadgerDataFSSpark SQLSQLiteYanza
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