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DBMS > Badger vs. HugeGraph vs. Realm vs. Tibero

System Properties Comparison Badger vs. HugeGraph vs. Realm vs. Tibero

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHugeGraph  Xexclude from comparisonRealm  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A fast-speed and highly-scalable Graph DBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA secure RDBMS, designed for easy portability from Oracle
Primary database modelKey-value storeGraph DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­hugegraph
hugegraph.apache.org
realm.ious.tmaxsoft.com/­products/­tibero
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerhugegraph.apache.org/­docsrealm.io/­docstechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperDGraph LabsBaiduRealm, acquired by MongoDB in May 2019TmaxSoft
Initial release2017201820142003
Current release0.96, April 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Sourcecommercial
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 languageGoJavaC and Assembler
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Unix
Android
Backend: server-less
iOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nononoyes
Secondary indexesnoyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesGoGroovy
Java
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsno inforuns within the applications so server-side scripts are unnecessaryPersistent Stored Procedure (PSM)
Triggersnonoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBasenonehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBasenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes infoIn-Memory realmno infoplanned for next version
User concepts infoAccess controlnoUsers, roles and permissionsyesfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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