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DBMS > Badger vs. BaseX vs. GridDB vs. InterSystems Caché vs. jBASE

System Properties Comparison Badger vs. BaseX vs. GridDB vs. InterSystems Caché vs. jBASE

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBaseX  Xexclude from comparisonGridDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonjBASE  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Scalable in-memory time series database optimized for IoT and Big DataA multi-model DBMS and application serverA robust multi-value DBMS comprising development tools and middleware
Primary database modelKey-value storeNative XML DBMSTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Multivalue DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Websitegithub.com/­dgraph-io/­badgerbasex.orggriddb.netwww.intersystems.com/­products/­cachewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.basex.orgdocs.griddb.netdocs.intersystems.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperDGraph LabsBaseX GmbHToshiba CorporationInterSystemsRocket Software (formerly Zumasys)
Initial release20172007201319971991
Current release10.7, August 20235.1, August 20222018.1.4, May 20205.7
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD licenseOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercial
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 languageGoJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
LinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
AIX
Linux
Windows
Data schemeschema-freeschema-freeyesdepending on used data modelschema-free
Typing infopredefined data types such as float or datenono infoXQuery supports typesyes infonumerical, string, blob, geometry, boolean, timestampyesoptional
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.nonoyesyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoSQL92, SQL-like TQL (Toshiba Query Language)yesEmbedded SQL for jBASE in BASIC
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesGoActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresnoyesnoyesyes
Triggersnoyes infovia eventsyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writerACID at container levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesyes
User concepts infoAccess controlnoUsers with fine-grained authorization concept on 4 levelsAccess rights for users can be defined per databaseAccess rights for users, groups and rolesAccess rights can be defined down to the item level
More information provided by the system vendor
BadgerBaseXGridDBInterSystems CachéjBASE
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
BadgerBaseXGridDBInterSystems CachéjBASE
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