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DBMS > Hawkular Metrics vs. Netezza vs. Rockset

System Properties Comparison Hawkular Metrics vs. Netezza vs. Rockset

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Data warehouse and analytics appliance part of IBM PureSystemsA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelTime Series DBMSRelational DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.01
Rank#373  Overall
#38  Time Series DBMS
Score7.34
Rank#48  Overall
#30  Relational DBMS
Score1.05
Rank#181  Overall
#31  Document stores
Websitewww.hawkular.orgwww.ibm.com/­products/­netezzarockset.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.rockset.com
DeveloperCommunity supported by Red HatIBMRockset
Initial release201420002019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinux
OS X
Windows
Linux infoincluded in appliancehosted
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesnoyesall fields are automatically indexed
SQL infoSupport of SQLnoyesRead-only SQL queries, including JOINs
APIs and other access methodsHTTP RESTJDBC
ODBC
OLE DB
HTTP REST
Supported programming languagesGo
Java
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesno
Triggersyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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.no
User concepts infoAccess controlnoUsers with fine-grained authorization conceptAccess rights for users and organizations can be defined via Rockset console

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More resources
Hawkular MetricsNetezza infoAlso called PureData System for Analytics by IBMRockset
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