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DBMS > Hawkular Metrics vs. IBM Cloudant vs. JanusGraph vs. Microsoft Azure SQL Database vs. Netezza

System Properties Comparison Hawkular Metrics vs. IBM Cloudant vs. JanusGraph vs. Microsoft Azure SQL Database vs. Netezza

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Database as a Service offering based on Apache CouchDBA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Database as a Service offering with high compatibility to Microsoft SQL ServerData warehouse and analytics appliance part of IBM PureSystems
Primary database modelTime Series DBMSDocument storeGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitewww.hawkular.orgwww.ibm.com/­products/­cloudantjanusgraph.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.ibm.com/­products/­netezza
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecloud.ibm.com/­docs/­Cloudantdocs.janusgraph.orgdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperCommunity supported by Red HatIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Linux Foundation; originally developed as Titan by AureliusMicrosoftIBM
Initial release20142010201720102000
Current release0.6.3, February 2023V12
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangJavaC++
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Unix
Windows
hostedLinux infoincluded in appliance
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nononoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnononoyesyes
APIs and other access methodsHTTP RESTRESTful HTTP/JSON APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesGo
Java
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
Clojure
Java
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptyesTransact SQLyes
Triggersyes infovia Hawkular Alertingyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
yesyes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Faunus, a graph analytics enginenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possibleACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
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.nono
User concepts infoAccess controlnoAccess rights for users can be defined per databaseUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Hawkular MetricsIBM CloudantJanusGraph infosuccessor of TitanMicrosoft Azure SQL Database infoformerly SQL AzureNetezza infoAlso called PureData System for Analytics by IBM
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