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DBMS > Amazon Aurora vs. Drizzle vs. Google Cloud Firestore vs. MarkLogic vs. SAP SQL Anywhere

System Properties Comparison Amazon Aurora vs. Drizzle vs. Google Cloud Firestore vs. MarkLogic vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMarkLogic  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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.Cloud 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.Operational and transactional Enterprise NoSQL databaseRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSRelational DBMSDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.50
Rank#49  Overall
#31  Relational DBMS
Score8.96
Rank#48  Overall
#8  Document stores
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score4.57
Rank#78  Overall
#43  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorafirebase.google.com/­products/­firestorewww.marklogic.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlfirebase.google.com/­docs/­firestoredocs.marklogic.comhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperAmazonDrizzle project, originally started by Brian AkerGoogleMarkLogic Corp.SAP infoformerly Sybase
Initial release20152008201720011992
Current release7.2.4, September 201211.0, December 202217, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedFreeBSD
Linux
OS X
hostedLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnoyesyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsnoyes infoSQL92yes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
HTTP API
JDBC
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
C
C++
Java
PHP
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoyes, Firebase Rules & Cloud Functionsyes infovia XQuery or JavaScriptyes, in C/C++, Java, .Net or Perl
Triggersyesno infohooks for callbacks inside the server can be used.yes, with Cloud Functionsyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replicationyesSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess 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 access control at the document and subdocument levelsfine grained access rights according to SQL-standard

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More resources
Amazon AuroraDrizzleGoogle Cloud FirestoreMarkLogicSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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