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DBMS > Hawkular Metrics vs. IBM Db2 Event Store vs. InterSystems Caché vs. NuoDB

System Properties Comparison Hawkular Metrics vs. IBM Db2 Event Store vs. InterSystems Caché vs. NuoDB

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonNuoDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
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 casesA multi-model DBMS and application serverNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelTime Series DBMSEvent Store
Time Series DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Websitewww.hawkular.orgwww.ibm.com/­products/­db2-event-storewww.intersystems.com/­products/­cachewww.3ds.com/­nuodb-distributed-sql-database
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.ibm.com/­docs/­en/­db2-event-storedocs.intersystems.comdoc.nuodb.com
DeveloperCommunity supported by Red HatIBMInterSystemsDassault Systèmes infooriginally NuoDB, Inc.
Initial release2014201719972013
Current release2.02018.1.4, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree developer edition availablecommercialcommercial infolimited edition free
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++
Server operating systemsLinux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeschema-freeyesdepending on used data modelyes
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.nonoyesno
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyesyes
APIs and other access methodsHTTP RESTADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
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
C#
C++
Java
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyesJava, SQL
Triggersyes infovia Hawkular Alertingnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnonedata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraActive-active shard replicationSource-replica replicationyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes infoMVCC
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.noyesyesyes infoTemporary table
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and rolesStandard SQL roles/ privileges, Administrative Users

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More resources
Hawkular MetricsIBM Db2 Event StoreInterSystems CachéNuoDB
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