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DBMS > Hawkular Metrics vs. Hazelcast vs. JanusGraph vs. OrientDB vs. Percona Server for MongoDB

System Properties Comparison Hawkular Metrics vs. Hazelcast vs. JanusGraph vs. OrientDB vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonHazelcast  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonOrientDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A widely adopted in-memory data gridA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Multi-model DBMS (Document, Graph, Key/Value)A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelTime Series DBMSKey-value storeGraph DBMSDocument store
Graph DBMS
Key-value store
Document store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score0.60
Rank#246  Overall
#39  Document stores
Websitewww.hawkular.orghazelcast.comjanusgraph.orgorientdb.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehazelcast.org/­imdg/­docsdocs.janusgraph.orgwww.orientdb.com/­docs/­last/­index.htmldocs.percona.com/­percona-distribution-for-mongodb
DeveloperCommunity supported by Red HatHazelcastLinux Foundation; originally developed as Titan by AureliusOrientDB LTD; CallidusCloud; SAPPercona
Initial release20142008201720102015
Current release5.3.6, November 20230.6.3, February 20233.2.29, March 20243.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaJavaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Unix
Windows
All OS with a Java JDK (>= JDK 6)Linux
Data schemeschema-freeschema-freeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infothe object must implement a serialization strategynonono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query language, no joinsno
APIs and other access methodsHTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
proprietary protocol using JSON
Supported programming languagesGo
Java
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Clojure
Java
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesyesJava, JavascriptJavaScript
Triggersyes infovia Hawkular Alertingyes infoEventsyesHooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoReplicated MapyesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Faunus, a graph analytics engineno infocould be achieved with distributed queriesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.noyesyes infovia In-Memory Engine
User concepts infoAccess controlnoRole-based access controlUser authentification and security via Rexster Graph ServerAccess rights for users and roles; record level security configurableAccess rights for users and roles

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More resources
Hawkular MetricsHazelcastJanusGraph infosuccessor of TitanOrientDBPercona Server for MongoDB
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