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DBMS > Amazon Aurora vs. Drizzle vs. Ehcache vs. Google Cloud Firestore vs. OrigoDB

System Properties Comparison Amazon Aurora vs. Drizzle vs. Ehcache vs. Google Cloud Firestore vs. OrigoDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDrizzle  Xexclude from comparisonEhcache  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonOrigoDB  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 optionsCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A fully ACID in-memory object graph database
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument storeDocument store
Object oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Score6.63
Rank#54  Overall
#9  Document stores
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Websiteaws.amazon.com/­rds/­aurorawww.ehcache.orgfirebase.google.com/­products/­firestoreorigodb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.ehcache.org/­documentationfirebase.google.com/­docs/­firestoreorigodb.com/­docs
DeveloperAmazonDrizzle project, originally started by Brian AkerTerracotta Inc, owned by Software AGGoogleRobert Friberg et al
Initial release20152008200920172009 infounder the name LiveDB
Current release7.2.4, September 20123.10.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC#
Server operating systemshostedFreeBSD
Linux
OS X
All OS with a Java VMhostedLinux
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesUser defined using .NET types and collections
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.yesnonono infocan be achieved using .NET
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsnonono
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCJCacheAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
.NET Client API
HTTP API
LINQ
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
JavaGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Server-side scripts infoStored proceduresyesnonoyes, Firebase Rules & Cloud Functionsyes
Triggersyesno infohooks for callbacks inside the server can be used.yes infoCache Event Listenersyes, with Cloud Functionsyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoby using Terracotta ServerShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yes infoby using Terracotta ServerMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integrityyesyesnonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes infosupports JTA and can work as an XA resourceyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Role based authorization

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More resources
Amazon AuroraDrizzleEhcacheGoogle Cloud FirestoreOrigoDB
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