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DBMS > BigObject vs. Citus vs. HugeGraph vs. Oracle Berkeley DB vs. Realm

System Properties Comparison BigObject vs. Citus vs. HugeGraph vs. Oracle Berkeley DB vs. Realm

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCitus  Xexclude from comparisonHugeGraph  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA fast-speed and highly-scalable Graph DBMSWidely used in-process key-value storeA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSGraph DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitebigobject.iowww.citusdata.comgithub.com/­hugegraph
hugegraph.apache.org
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrealm.io
Technical documentationdocs.bigobject.iodocs.citusdata.comhugegraph.apache.org/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlrealm.io/­docs
DeveloperBigObject, Inc.BaiduOracle infooriginally developed by Sleepycat, which was acquired by OracleRealm, acquired by MongoDB in May 2019
Initial release20152010201819942014
Current release8.1, December 20180.918.1.40, May 2020
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0Open Source infocommercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxLinux
macOS
Unix
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyes infospecific XML type available, but no XML query functionalitynoyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infostandard, with numerous extensionsnoyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Groovy
Java
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresLuauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.asynchronous Gremlin script jobsnono inforuns within the applications so server-side scripts are unnecessary
Triggersnoyesnoyes infoonly for the SQL APIyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensionsyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
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.yesnoyesyesyes infoIn-Memory realm
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers, roles and permissionsnoyes

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More resources
BigObjectCitusHugeGraphOracle Berkeley DBRealm
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