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DBMS > HugeGraph vs. KeyDB vs. NuoDB vs. Riak TS

System Properties Comparison HugeGraph vs. KeyDB vs. NuoDB vs. Riak TS

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonKeyDB  Xexclude from comparisonNuoDB  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsNuoDB is a webscale distributed database that supports SQL and ACID transactionsRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelGraph DBMSKey-value storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
github.com/­Snapchat/­KeyDB
keydb.dev
www.3ds.com/­nuodb-distributed-sql-database
Technical documentationhugegraph.apache.org/­docsdocs.keydb.devdoc.nuodb.comwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperBaiduEQ Alpha Technology Ltd.Dassault Systèmes infooriginally NuoDB, Inc.Open Source, formerly Basho Technologies
Initial release2018201920132015
Current release0.93.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD-3commercial infolimited edition freeOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++Erlang
Server operating systemsLinux
macOS
Unix
Linuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesno
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
Secondary indexesyes infoalso supports composite index and range indexyes infoby using the Redis Search moduleyesrestricted
SQL infoSupport of SQLnonoyesyes, limited
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesGroovy
Java
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C 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 jobsLuaJava, SQLErlang
Triggersnonoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingdata is dynamically stored/cached on the nodes where it is read/writtenSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
yes infoManaged transparently by NuoDBselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphnoyesno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsACID infotunable commit protocolno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTemporary table
User concepts infoAccess controlUsers, roles and permissionssimple password-based access control and ACLStandard SQL roles/ privileges, Administrative Usersno

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More resources
HugeGraphKeyDBNuoDBRiak TS
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