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DBMS > Hawkular Metrics vs. IBM Db2 warehouse vs. Microsoft Access vs. OpenTSDB vs. Titan

System Properties Comparison Hawkular Metrics vs. IBM Db2 warehouse vs. Microsoft Access vs. OpenTSDB vs. Titan

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOpenTSDB  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Cloud-based data warehousing serviceMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Scalable Time Series DBMS based on HBaseTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelTime Series DBMSRelational DBMSRelational DBMSTime Series DBMSGraph 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
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websitewww.hawkular.orgwww.ibm.com/­products/­db2/­warehousewww.microsoft.com/­en-us/­microsoft-365/­accessopentsdb.netgithub.com/­thinkaurelius/­titan
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedeveloper.microsoft.com/­en-us/­accessopentsdb.net/­docs/­build/­html/­index.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperCommunity supported by Red HatIBMMicrosoftcurrently maintained by Yahoo and other contributorsAurelius, owned by DataStax
Initial release20142014199220112012
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoBundled with Microsoft OfficeOpen Source infoLGPLOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaJava
Server operating systemsLinux
OS X
Windows
hostedWindows infoNot a real database server, but making use of DLLsLinux
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnumeric data for metrics, strings for tagsyes
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 possibleno
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoyesyes infobut not compliant to any SQL standardnono
APIs and other access methodsHTTP REST.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Telnet API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesGo
Java
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Erlang
Go
Java
Python
R
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLyes infosince Access 2010 using the ACE-enginenoyes
Triggersyes infovia Hawkular Alertingyesyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnoneSharding infobased on HBaseyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesnoneselectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency infobased on HBaseEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003noUser authentification and security via Rexster Graph Server

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More resources
Hawkular MetricsIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft AccessOpenTSDBTitan
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