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DBMS > GridGain vs. HugeGraph vs. Realm

System Properties Comparison GridGain vs. HugeGraph vs. Realm

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHugeGraph  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA 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 Data
Primary database modelKey-value store
Relational DBMS
Graph DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#149  Overall
#26  Key-value stores
#69  Relational DBMS
Score0.30
Rank#328  Overall
#29  Graph DBMS
Score8.10
Rank#55  Overall
#10  Document stores
Websitewww.gridgain.comgithub.com/­hugegraph
hugegraph.apache.org
realm.io
Technical documentationwww.gridgain.com/­docs/­index.htmlhugegraph.apache.org/­docsrealm.io/­docs
DeveloperGridGain Systems, Inc.BaiduRealm, acquired by MongoDB in May 2019
Initial release200720182014
Current releaseGridGain 8.5.10.9
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJava
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS
Unix
Android
Backend: server-less
iOS
Windows
Data schemeyesyesyes
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.yesnono
Secondary indexesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)asynchronous Gremlin script jobsno inforuns within the applications so server-side scripts are unnecessary
Triggersyes (cache interceptors and events)noyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)via hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoIn-Memory realm
User concepts infoAccess controlSecurity Hooks for custom implementationsUsers, roles and permissionsyes

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GridGainHugeGraphRealm
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