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DBMS > Hazelcast vs. InfinityDB vs. JanusGraph vs. Riak KV

System Properties Comparison Hazelcast vs. InfinityDB vs. JanusGraph vs. Riak KV

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonInfinityDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionA widely adopted in-memory data gridA Java embedded Key-Value Store which extends the Java Map interfaceA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Distributed, fault tolerant key-value store
Primary database modelKey-value storeKey-value storeGraph DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.08
Rank#365  Overall
#55  Key-value stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitehazelcast.comboilerbay.comjanusgraph.org
Technical documentationhazelcast.org/­imdg/­docsboilerbay.com/­infinitydb/­manualdocs.janusgraph.orgwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperHazelcastBoiler Bay Inc.Linux Foundation; originally developed as Titan by AureliusOpenSource, formerly Basho Technologies
Initial release2008200220172009
Current release5.3.6, November 20234.00.6.3, February 20233.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0Open 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 languageJavaJavaJavaErlang
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinux
OS X
Unix
Windows
Linux
OS X
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesno
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.yes infothe object must implement a serialization strategynonono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesrestricted
SQL infoSupport of SQLSQL-like query languagenonono
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP API
Native Erlang Interface
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaClojure
Java
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 infoEvent Listeners, Executor ServicesnoyesErlang
Triggersyes infoEventsnoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapnoneyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Faunus, a graph analytics engineyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyes infoRelationships in graphsno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlRole-based access controlnoUser authentification and security via Rexster Graph Serveryes, using Riak Security

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More resources
HazelcastInfinityDBJanusGraph infosuccessor of TitanRiak KV
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