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DBMS > etcd vs. HugeGraph vs. IBM Db2 vs. Riak KV

System Properties Comparison etcd vs. HugeGraph vs. IBM Db2 vs. Riak KV

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHugeGraph  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionA distributed reliable key-value storeA fast-speed and highly-scalable Graph DBMSCommon in IBM host environments, 2 different versions for host and Windows/LinuxDistributed, fault tolerant key-value store
Primary database modelKey-value storeGraph DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websiteetcd.io
github.com/­etcd-io/­etcd
github.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­db2
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hugegraph.apache.org/­docswww.ibm.com/­docs/­en/­db2www.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperBaiduIBMOpenSource, formerly Basho Technologies
Initial release20181983 infohost version2009
Current release3.4, August 20190.912.1, October 20163.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infofree version is availableOpen Source infoApache version 2, commercial enterprise edition
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 languageGoJavaC and C++Erlang
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
macOS
Unix
AIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
OS X
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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 indexesnoyes infoalso supports composite index and range indexyesrestricted
SQL infoSupport of SQLnonoyesno
APIs and other access methodsgRPC
JSON over HTTP
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
HTTP API
Native Erlang Interface
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Groovy
Java
Python
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
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 proceduresnoasynchronous Gremlin script jobsyesErlang
Triggersyes, watching key changesnoyesyes 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 HBaseSharding infoonly with Windows/Unix/Linux VersionSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infodepending on used storage backend, e.g. Cassandra and HBaseyes infowith separate tools (MQ, InfoSphere)selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
User concepts infoAccess controlnoUsers, roles and permissionsfine grained access rights according to SQL-standardyes, using Riak Security

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More resources
etcdHugeGraphIBM Db2 infoformerly named DB2 or IBM Database 2Riak KV
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