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DBMS > Badger vs. JaguarDB vs. SQream DB vs. Yaacomo

System Properties Comparison Badger vs. JaguarDB vs. SQream DB vs. Yaacomo

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonJaguarDB  Xexclude from comparisonSQream DB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Performant, highly scalable DBMS for AI and IoT applicationsa GPU-based, columnar RDBMS for big data analytics workloadsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value storeKey-value store
Vector DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.jaguardb.comsqream.comyaacomo.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.jaguardb.com/­support.htmldocs.sqream.com
DeveloperDGraph LabsDataJaguar, Inc.SQream TechnologiesQ2WEB GmbH
Initial release2017201520172009
Current release3.3 July 20232022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL V3.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ infothe server part. Clients available in other languagesC++, CUDA, Haskell, Java, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinuxAndroid
Linux
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyes, ANSI Standard SQL Typesyes
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.nonono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesyes
APIs and other access methodsJDBC
ODBC
.Net
JDBC
ODBC
JDBC
ODBC
Supported programming languagesGoC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functions in Python
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal and vertical partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes
User concepts infoAccess controlnorights management via user accountsfine grained access rights according to SQL-standard

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More resources
BadgerJaguarDBSQream DBYaacomo
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