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DBMS > Ehcache vs. EsgynDB vs. Hawkular Metrics

System Properties Comparison Ehcache vs. EsgynDB vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonEsgynDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelKey-value storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Websitewww.ehcache.orgwww.esgyn.cnwww.hawkular.org
Technical documentationwww.ehcache.org/­documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperTerracotta Inc, owned by Software AGEsgynCommunity supported by Red Hat
Initial release200920152014
Current release3.10.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaJava
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesnoyesno
SQL infoSupport of SQLnoyesno
APIs and other access methodsJCacheADO.NET
JDBC
ODBC
HTTP REST
Supported programming languagesJavaAll languages supporting JDBC/ODBC/ADO.NetGo
Java
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresno
Triggersyes infoCache Event Listenersnoyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replication between multi datacentersselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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More resources
EhcacheEsgynDBHawkular Metrics
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