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DBMS > Hawkular Metrics vs. IBM Db2 warehouse vs. SwayDB

System Properties Comparison Hawkular Metrics vs. IBM Db2 warehouse vs. SwayDB

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSwayDB  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 serviceAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelTime Series DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score1.34
Rank#166  Overall
#76  Relational DBMS
Score0.04
Rank#373  Overall
#57  Key-value stores
Websitewww.hawkular.orgwww.ibm.com/­products/­db2/­warehouseswaydb.simer.au
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperCommunity supported by Red HatIBMSimer Plaha
Initial release201420142018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemsLinux
OS X
Windows
hosted
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesnoyesno
SQL infoSupport of SQLnoyesno
APIs and other access methodsHTTP REST.NET Client API
JDBC
ODBC
OLE DB
Supported programming languagesGo
Java
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLno
Triggersyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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More resources
Hawkular MetricsIBM Db2 warehouse infoformerly named IBM dashDBSwayDB
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