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DBMS > Amazon Aurora vs. Drizzle vs. Ehcache vs. Faircom EDGE vs. Kyligence Enterprise

System Properties Comparison Amazon Aurora vs. Drizzle vs. Ehcache vs. Faircom EDGE vs. Kyligence Enterprise

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDrizzle  Xexclude from comparisonEhcache  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonKyligence Enterprise  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A 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 distributed analytics engine for big data, built on top of Apache Kylin
Primary database modelRelational DBMSRelational DBMSKey-value storeKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.ehcache.orgwww.faircom.com/­products/­faircom-edgekyligence.io/­kyligence-enterprise
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.ehcache.org/­documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html
DeveloperAmazonDrizzle project, originally started by Brian AkerTerracotta Inc, owned by Software AGFairCom CorporationKyligence, Inc.
Initial release20152008200919792016
Current release7.2.4, September 20123.10.0, March 2022V3, October 2020
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses availablecommercial infoRestricted, free version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaANSI C, C++Java
Server operating systemshostedFreeBSD
Linux
OS X
All OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
Data schemeyesyesschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Typesyes
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.yesnoyesno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsnoyes infoANSI SQL queriesANSI SQL for queries (using Apache Calcite)
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCJCacheADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Java
PHP
JavaC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Server-side scripts infoStored proceduresyesnonoyes info.Net, JavaScript, C/C++
Triggersyesno infohooks for callbacks inside the server can be used.yes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoby using Terracotta ServerFile partitioning infoCustomizable business rules for partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yes infoby using Terracotta Serveryes infoSynchronous and asynchronous realtime replication based on transaction logs
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnoyes infowhen using SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes infosupports JTA and can work as an XA resourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesyes 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.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

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More resources
Amazon AuroraDrizzleEhcacheFaircom EDGE infoformerly c-treeEDGEKyligence Enterprise
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