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DBMS > Ehcache vs. Faircom DB vs. Hawkular Metrics vs. IBM Cloudant

System Properties Comparison Ehcache vs. Faircom DB vs. Hawkular Metrics vs. IBM Cloudant

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIBM Cloudant  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Database as a Service offering based on Apache CouchDB
Primary database modelKey-value storeKey-value store
Relational DBMS
Time Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.79
Rank#66  Overall
#8  Key-value stores
Score0.18
Rank#314  Overall
#45  Key-value stores
#141  Relational DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score2.85
Rank#95  Overall
#18  Document stores
Websitewww.ehcache.orgwww.faircom.com/­products/­faircom-dbwww.hawkular.orgwww.ibm.com/­products/­cloudant
Technical documentationwww.ehcache.org/­documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecloud.ibm.com/­docs/­Cloudant
DeveloperTerracotta Inc, owned by Software AGFairCom CorporationCommunity supported by Red HatIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release2009197920142010
Current release3.10.0, March 2022V13, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infoRestricted, free version availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaANSI C, C++JavaErlang
Server operating systemsAll OS with a Java VMAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Windows
hosted
Data schemeschema-freeschema free, schema optional, schema required, partial schema,schema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesno
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.nononono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsnono
APIs and other access methodsJCacheADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
HTTP RESTRESTful HTTP/JSON API
Supported programming languagesJava.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Go
Java
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++noView functions (Map-Reduce) in JavaScript
Triggersyes infoCache Event Listenersyesyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).selectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcetunable from ACID to Eventually Consistentnono infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic locking
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlnoFine grained access rights according to SQL-standard with additional protections for filesnoAccess rights for users can be defined per database

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More resources
EhcacheFaircom DB infoformerly c-treeACEHawkular MetricsIBM Cloudant
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