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DBMS > Ehcache vs. Hawkular Metrics vs. Ingres vs. RRDtool

System Properties Comparison Ehcache vs. Hawkular Metrics vs. Ingres vs. RRDtool

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIngres  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Well established RDBMSIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelKey-value storeTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitewww.ehcache.orgwww.hawkular.orgwww.actian.com/­databases/­ingresoss.oetiker.ch/­rrdtool
Technical documentationwww.ehcache.org/­documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.actian.com/­ingresoss.oetiker.ch/­rrdtool/­doc
DeveloperTerracotta Inc, owned by Software AGCommunity supported by Red HatActian CorporationTobias Oetiker
Initial release200920141974 infooriginally developed at University Berkely in early 1970s1999
Current release3.10.0, March 202211.2, May 20221.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercialOpen Source infoGPL V2 and FLOSS
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 languageJavaJavaCC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
HP-UX
Linux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.nonono infobut tools for importing/exporting data from/to XML-files availableno infoExporting into and restoring from XML files possible
Secondary indexesnonoyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsJCacheHTTP REST.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
in-process shared library
Pipes
Supported programming languagesJavaGo
Java
Python
Ruby
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresnonoyesno
Triggersyes infoCache Event Listenersyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerSharding infobased on Cassandrahorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serverselectable replication factor infobased on CassandraIngres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistencynone
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardno

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EhcacheHawkular MetricsIngresRRDtool
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