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DBMS > Hawkular Metrics vs. IBM Db2 warehouse vs. JanusGraph vs. Microsoft Azure SQL Database vs. Netezza

System Properties Comparison Hawkular Metrics vs. IBM Db2 warehouse vs. JanusGraph vs. Microsoft Azure SQL Database vs. Netezza

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  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.Cloud-based data warehousing serviceA 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 DBMSRelational DBMSGraph 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
Score1.30
Rank#164  Overall
#75  Relational DBMS
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/­db2/­warehousejanusgraph.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.ibm.com/­products/­netezza
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.janusgraph.orgdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperCommunity supported by Red HatIBMLinux Foundation; originally developed as Titan by AureliusMicrosoftIBM
Initial release20142014201720102000
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 languageJavaJavaC++
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Unix
Windows
hostedLinux infoincluded in appliance
Data schemeschema-freeyesyesyesyes
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.nono infoImport/export of XML data possiblenoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesnoyesyes
APIs and other access methodsHTTP REST.NET Client API
JDBC
ODBC
OLE DB
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesGo
Java
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
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 proceduresnoPL/SQL, SQL PLyesTransact 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 Cassandrayesyesyes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes 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
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
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.noyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardUser 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 Db2 warehouse infoformerly named IBM dashDBJanusGraph infosuccessor of TitanMicrosoft Azure SQL Database infoformerly SQL AzureNetezza infoAlso called PureData System for Analytics by IBM
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