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DBMS > EventStoreDB vs. Hawkular Metrics vs. Netezza

System Properties Comparison EventStoreDB vs. Hawkular Metrics vs. Netezza

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Hawkular 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 PureSystems
Primary database modelEvent StoreTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitewww.eventstore.comwww.hawkular.orgwww.ibm.com/­products/­netezza
Technical documentationdevelopers.eventstore.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperEvent Store LimitedCommunity supported by Red HatIBM
Initial release201220142000
Current release21.2, February 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux
Windows
Linux
OS X
Windows
Linux infoincluded in appliance
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesnoyes
SQL infoSupport of SQLnoyes
APIs and other access methodsHTTP RESTJDBC
ODBC
OLE DB
Supported programming languagesGo
Java
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnoyes
Triggersyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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 concept

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More resources
EventStoreDBHawkular MetricsNetezza infoAlso called PureData System for Analytics by IBM
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