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DBMS > HBase vs. JanusGraph vs. MaxDB vs. Riak KV

System Properties Comparison HBase vs. JanusGraph vs. MaxDB vs. Riak KV

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A robust and reliable RDBMS optimized to run all major SAP solutionsDistributed, fault tolerant key-value store
Primary database modelWide column storeGraph DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitehbase.apache.orgjanusgraph.orgmaxdb.sap.com
Technical documentationhbase.apache.org/­book.htmldocs.janusgraph.orgmaxdb.sap.com/­documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetLinux Foundation; originally developed as Titan by AureliusSAP, acquired from Software AG (Adabas-D) in 1997OpenSource, formerly Basho Technologies
Initial release2008201719842009
Current release2.3.4, January 20210.6.3, February 20237.9.10.12, February 20243.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0commercial infoLimited community edition freeOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Erlang
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Data schemeschema-free, schema definition possibleyesyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesno
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 indexesnoyesyesrestricted
SQL infoSupport of SQLnonoyesno
APIs and other access methodsJava API
RESTful HTTP API
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
WebDAV
HTTP API
Native Erlang Interface
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Clojure
Java
Python
.Net
C#
Java
Perl
PHP
Python
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 proceduresyes infoCoprocessors in JavayesyesErlang
Triggersyesyesyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Faunus, a graph analytics enginenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardyes, using Riak Security

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More resources
HBaseJanusGraph infosuccessor of TitanMaxDB infoformerly named Adabas-DRiak KV
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