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DBMS > Amazon Aurora vs. Google Cloud Datastore vs. MySQL vs. TerminusDB

System Properties Comparison Amazon Aurora vs. Google Cloud Datastore vs. MySQL vs. TerminusDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMySQL  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformWidely used open source RDBMSScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSDocument storeRelational DBMS infoKey/Value like access via memcached APIGraph DBMS
Secondary database modelsDocument storeDocument storeDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.16
Rank#47  Overall
#28  Relational DBMS
Score4.81
Rank#67  Overall
#12  Document stores
Score1274.65
Rank#2  Overall
#2  Relational DBMS
Score0.00
Rank#334  Overall
#32  Graph DBMS
Websiteaws.amazon.com/­rds/­auroracloud.google.com/­datastorewww.mysql.comterminusdb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlcloud.google.com/­datastore/­docsdev.mysql.com/­docterminusdb.com/­docs
DeveloperAmazonGoogleOracle infosince 2010, originally MySQL AB, then SunDataChemist Ltd.
Initial release2015200819952018
Current release8.0.18, October 20191.0, 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
Implementation languageC and C++Prolog, Rust
Server operating systemshostedhostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyes
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 indexesyesyesyes
SQL infoSupport of SQLyesSQL-like query language (GQL)yes infowith proprietary extensionsSQL-like query language (WOQL)
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Proprietary native API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript
Python
Server-side scripts infoStored proceduresyesusing Google App Engineyes infoproprietary syntaxyes
TriggersyesCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL FabricGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMulti-Master replication using PaxosMaster-master replication
Master-slave replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept infono user groups or rolesRole-based access control

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More resources
Amazon AuroraGoogle Cloud DatastoreMySQLTerminusDB infoformer name was DataChemist
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