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DBMS > Amazon Aurora vs. BaseX vs. BigObject vs. Oracle Rdb vs. Sqrrl

System Properties Comparison Amazon Aurora vs. BaseX vs. BigObject vs. Oracle Rdb vs. Sqrrl

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonBaseX  Xexclude from comparisonBigObject  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Analytic DBMS for real-time computations and queriesAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSNative XML DBMSRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorabasex.orgbigobject.iowww.oracle.com/­database/­technologies/­related/­rdb.htmlsqrrl.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.basex.orgdocs.bigobject.iowww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperAmazonBaseX GmbHBigObject, Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)Amazon infooriginally Sqrrl Data, Inc.
Initial release20152007201519842012
Current release10.7, August 20237.4.1.1, 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercial infofree community edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedLinux
OS X
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
HP Open VMSLinux
Data schemeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesyesyes
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.yesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsyesno
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
fluentd
ODBC
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesyesLuano
Triggersyesyes infovia eventsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnoyes infoautomatically between fact table and dimension tablesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writernoyes, on a single nodeAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/write lock on objects (tables, trees)yesyes
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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept on 4 levelsnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Amazon AuroraBaseXBigObjectOracle RdbSqrrl
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