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DBMS > Amazon Aurora vs. Drizzle vs. Ehcache vs. GridDB vs. OrigoDB

System Properties Comparison Amazon Aurora vs. Drizzle vs. Ehcache vs. GridDB vs. OrigoDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDrizzle  Xexclude from comparisonEhcache  Xexclude from comparisonGridDB  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 optionsScalable in-memory time series database optimized for IoT and Big DataA fully ACID in-memory object graph database
Primary database modelRelational DBMSRelational DBMSKey-value storeTime Series DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument storeKey-value store
Relational DBMS
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
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Websiteaws.amazon.com/­rds/­aurorawww.ehcache.orggriddb.netorigodb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.ehcache.org/­documentationdocs.griddb.netorigodb.com/­docs
DeveloperAmazonDrizzle project, originally started by Brian AkerTerracotta Inc, owned by Software AGToshiba CorporationRobert Friberg et al
Initial release20152008200920132009 infounder the name LiveDB
Current release7.2.4, September 20123.10.0, March 20225.1, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++C#
Server operating systemshostedFreeBSD
Linux
OS X
All OS with a Java VMLinuxLinux
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infonumerical, string, blob, geometry, boolean, timestampUser 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 extensionsnoSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCJCacheJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON 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
JavaC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresyesnononoyes
Triggersyesno infohooks for callbacks inside the server can be used.yes infoCache Event Listenersyesyes 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 ServerSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate consistency within container, eventual consistency across containers
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 resourceACID at container levelACID
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.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPnoAccess rights for users can be defined per databaseRole based authorization
More information provided by the system vendor
Amazon AuroraDrizzleEhcacheGridDBOrigoDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Amazon AuroraDrizzleEhcacheGridDBOrigoDB
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