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DBMS > Hawkular Metrics vs. IBM Db2 Event Store vs. Trafodion vs. Warp 10

System Properties Comparison Hawkular Metrics vs. IBM Db2 Event Store vs. Trafodion vs. Warp 10

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTrafodion  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Distributed Event Store optimized for Internet of Things use casesTransactional SQL-on-Hadoop DBMSTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSEvent Store
Time Series DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#332  Overall
#32  Time Series DBMS
Score0.51
Rank#240  Overall
#2  Event Stores
#19  Time Series DBMS
Score0.45
Rank#245  Overall
#115  Relational DBMS
Score0.23
Rank#284  Overall
#25  Time Series DBMS
Websitewww.hawkular.orgwww.ibm.com/­products/­db2-event-storetrafodion.apache.orgwww.warp10.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_2.0.0/­welcome.htmltrafodion.apache.orgwww.warp10.io/­content/­02_Getting_started
DeveloperCommunity supported by Red HatIBMApache Software Foundation, originally developed by HPSenX
Initial release2014201720142015
Current release2.02.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++, JavaJava
Server operating systemsLinux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionLinuxLinux
OS X
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesnonoyesno
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyesno
APIs and other access methodsHTTP RESTADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyesJava Stored Proceduresyes infoWarpScript
Triggersyes infovia Hawkular Alertingnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraActive-active shard replicationyes, via HBaseselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Hawkular MetricsIBM Db2 Event StoreTrafodionWarp 10
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