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DBMS > Amazon Aurora vs. Amazon CloudSearch vs. EventStoreDB vs. OrigoDB vs. PlanetScale

System Properties Comparison Amazon Aurora vs. Amazon CloudSearch vs. EventStoreDB vs. OrigoDB vs. PlanetScale

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonEventStoreDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA hosted search engine service by Amazon with the data stored in Amazons cloudIndustrial-strength, open-source database solution built from the ground up for event sourcing.A fully ACID in-memory object graph databaseScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelRelational DBMSSearch engineEvent StoreDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score1.85
Rank#137  Overall
#12  Search engines
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­cloudsearchwww.eventstore.comorigodb.complanetscale.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.aws.amazon.com/­cloudsearchdevelopers.eventstore.comorigodb.com/­docsplanetscale.com/­docs
DeveloperAmazonAmazonEvent Store LimitedRobert Friberg et alPlanetScale
Initial release2015201220122009 infounder the name LiveDB2020
Current release21.2, February 2021
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#Go
Server operating systemshostedhostedLinux
Windows
Linux
Windows
Docker
Linux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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.yesno infocan be achieved using .NET
Secondary indexesyesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLyesnonoyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP API.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnoyesyes infoproprietary syntax
Triggersyesnoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infomanaged transparently by AWSSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnodepending on modelyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
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-standardauthentication via encrypted signaturesRole based authorizationUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon AuroraAmazon CloudSearchEventStoreDBOrigoDBPlanetScale
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