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DBMS > Ehcache vs. Firebolt vs. Hawkular Metrics vs. Hypertable

System Properties Comparison Ehcache vs. Firebolt vs. Hawkular Metrics vs. Hypertable

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFirebolt  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA widely adopted Java cache with tiered storage optionsHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelKey-value storeRelational DBMSTime Series DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.79
Rank#66  Overall
#8  Key-value stores
Score1.49
Rank#148  Overall
#68  Relational DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Websitewww.ehcache.orgwww.firebolt.iowww.hawkular.org
Technical documentationwww.ehcache.org/­documentationdocs.firebolt.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperTerracotta Inc, owned by Software AGFirebolt Analytics Inc.Community supported by Red HatHypertable Inc.
Initial release2009202020142009
Current release3.10.0, March 20220.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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
Secondary indexesnoyesnorestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnoyesnono
APIs and other access methodsJCache.Net
ODBC
RESTful HTTP API
HTTP RESTC++ API
Thrift
Supported programming languagesJavaGo
JavaScript (Node.js)
Python
Go
Java
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononono
Triggersyes infoCache Event Listenersnoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serverdepending on storage layerselectable replication factor infobased on Cassandraselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
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 Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenono
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.yesno
User concepts infoAccess controlnonono

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More resources
EhcacheFireboltHawkular MetricsHypertable
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