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DBMS > Ehcache vs. Faircom EDGE vs. FatDB vs. Riak KV

System Properties Comparison Ehcache vs. Faircom EDGE vs. FatDB vs. Riak KV

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFatDB  Xexclude from comparisonRiak KV  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA widely adopted Java cache with tiered storage optionsFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA .NET NoSQL DBMS that can integrate with and extend SQL Server.Distributed, fault tolerant key-value store
Primary database modelKey-value storeKey-value store
Relational DBMS
Document store
Key-value store
Key-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitewww.ehcache.orgwww.faircom.com/­products/­faircom-edge
Technical documentationwww.ehcache.org/­documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperTerracotta Inc, owned by Software AGFairCom CorporationFatCloudOpenSource, formerly Basho Technologies
Initial release2009197920122009
Current release3.10.0, March 2022V3, October 20203.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infoRestricted, free version availablecommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaANSI C, C++C#Erlang
Server operating systemsAll OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
WindowsLinux
OS X
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesno
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.noyesno
Secondary indexesnoyesyesrestricted
SQL infoSupport of SQLnoyes infoANSI SQL queriesno infoVia inetgration in SQL Serverno
APIs and other access methodsJCacheADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
Native Erlang Interface
Supported programming languagesJavaC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yes infovia applicationsErlang
Triggersyes infoCache Event Listenersyesyes infovia applicationsyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerFile partitioning infoCustomizable business rules for partitioningShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
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.yesyes
User concepts infoAccess controlnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no infoCan implement custom security layer via applicationsyes, using Riak Security

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More resources
EhcacheFaircom EDGE infoformerly c-treeEDGEFatDBRiak KV
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