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DBMS > BigObject vs. HugeGraph vs. LeanXcale vs. Realm

System Properties Comparison BigObject vs. HugeGraph vs. LeanXcale vs. Realm

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonHugeGraph  Xexclude from comparisonLeanXcale  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesA fast-speed and highly-scalable Graph DBMSA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA 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 imposedGraph DBMSKey-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitebigobject.iogithub.com/­hugegraph
hugegraph.apache.org
www.leanxcale.comrealm.io
Technical documentationdocs.bigobject.iohugegraph.apache.org/­docsrealm.io/­docs
DeveloperBigObject, Inc.BaiduLeanXcaleRealm, acquired by MongoDB in May 2019
Initial release2015201820152014
Current release0.9
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2.0commercialOpen Source
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 languageJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
macOS
Unix
Android
Backend: server-less
iOS
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infothrough Apache Derbyno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesGroovy
Java
Python
C
Java
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresLuaasynchronous Gremlin script jobsno inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBasenone
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 integrityyes infoautomatically between fact table and dimension tablesyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
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.yesyesyesyes infoIn-Memory realm
User concepts infoAccess controlnoUsers, roles and permissionsyes

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BigObjectHugeGraphLeanXcaleRealm
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