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DBMS > HugeGraph vs. OrigoDB vs. Riak KV vs. Warp 10

System Properties Comparison HugeGraph vs. OrigoDB vs. Riak KV vs. Warp 10

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonOrigoDB  Xexclude from comparisonRiak KV  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA fully ACID in-memory object graph databaseDistributed, fault tolerant key-value storeTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelGraph DBMSDocument store
Object oriented DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
origodb.comwww.warp10.io
Technical documentationhugegraph.apache.org/­docsorigodb.com/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.warp10.io/­content/­02_Getting_started
DeveloperBaiduRobert Friberg et alOpenSource, formerly Basho TechnologiesSenX
Initial release20182009 infounder the name LiveDB20092015
Current release0.93.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#ErlangJava
Server operating systemsLinux
macOS
Unix
Linux
Windows
Linux
OS X
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsnoyes
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.nono infocan be achieved using .NETnono
Secondary indexesyes infoalso supports composite index and range indexyesrestrictedno
SQL infoSupport of SQLnononono
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
HTTP API
LINQ
HTTP API
Native Erlang Interface
HTTP API
Jupyter
WebSocket
Supported programming languagesGroovy
Java
Python
.NetC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesErlangyes infoWarpScript
Triggersnoyes infoDomain Eventsyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning infoclient side managed; servers are not synchronizedSharding infono "single point of failure"Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationselectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infoedges in graphdepending on modelno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlUsers, roles and permissionsRole based authorizationyes, using Riak SecurityMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
HugeGraphOrigoDBRiak KVWarp 10
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