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DBMS > Hawkular Metrics vs. JanusGraph vs. Kinetica vs. Microsoft Azure SQL Database vs. Oracle Rdb

System Properties Comparison Hawkular Metrics vs. JanusGraph vs. Kinetica vs. Microsoft Azure SQL Database vs. Oracle Rdb

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Fully vectorized database across both GPUs and CPUsDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelTime Series DBMSGraph DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document 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
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websitewww.hawkular.orgjanusgraph.orgwww.kinetica.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.janusgraph.orgdocs.kinetica.comdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperCommunity supported by Red HatLinux Foundation; originally developed as Titan by AureliusKineticaMicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20142017201220101984
Current release0.6.3, February 20237.1, August 2021V127.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC, C++C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Windows
LinuxhostedHP Open VMS
Data schemeschema-freeyesyesyesFlexible Schema (defined schema, partial schema, 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.nononoyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyesyes
APIs and other access methodsHTTP RESTJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
Python
Ruby
Clojure
Java
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesuser defined functionsTransact SQL
Triggersyes infovia Hawkular Alertingyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrayes 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 CassandrayesSource-replica replicationyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlnoUser authentification and security via Rexster Graph ServerAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
Hawkular MetricsJanusGraph infosuccessor of TitanKineticaMicrosoft Azure SQL Database infoformerly SQL AzureOracle Rdb
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