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DBMS > Amazon Neptune vs. HugeGraph vs. mSQL vs. OrigoDB vs. Splunk

System Properties Comparison Amazon Neptune vs. HugeGraph vs. mSQL vs. OrigoDB vs. Splunk

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonHugeGraph  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA fast-speed and highly-scalable Graph DBMSmSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseAnalytics Platform for Big Data
Primary database modelGraph DBMS
RDF store
Graph DBMSRelational DBMSDocument store
Object oriented DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websiteaws.amazon.com/­neptunegithub.com/­hugegraph
hugegraph.apache.org
hughestech.com.au/­products/­msqlorigodb.comwww.splunk.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceshugegraph.apache.org/­docsorigodb.com/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperAmazonBaiduHughes TechnologiesRobert Friberg et alSplunk Inc.
Initial release2017201819942009 infounder the name LiveDB2003
Current release0.94.4, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree licenses can be providedOpen Sourcecommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC#
Server operating systemshostedLinux
macOS
Unix
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsyes
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.nononono infocan be achieved using .NETyes
Secondary indexesnoyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLnonoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnono infoSplunk Search Processing Language for search commands
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
.NET Client API
HTTP API
LINQ
HTTP REST
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Groovy
Java
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
.NetC#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsnoyesyes
Triggersnononoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBasenonehorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yes infodepending on used storage backend, e.g. Cassandra and HBasenoneSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencynoneEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoedges in graphnodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users, roles and permissionsnoRole based authorizationAccess rights for users and roles

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More resources
Amazon NeptuneHugeGraphmSQL infoMini SQLOrigoDBSplunk
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