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DBMS > Amazon Aurora vs. HBase vs. OrientDB vs. Sqrrl

System Properties Comparison Amazon Aurora vs. HBase vs. OrientDB vs. Sqrrl

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonHBase  Xexclude from comparisonOrientDB  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 AmazonWide-column store based on Apache Hadoop and on concepts of BigTableMulti-model DBMS (Document, Graph, Key/Value)Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSWide column storeDocument store
Graph DBMS
Key-value store
Document 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
Score9.05
Rank#49  Overall
#31  Relational DBMS
Score31.60
Rank#26  Overall
#2  Wide column stores
Score3.38
Rank#96  Overall
#17  Document stores
#6  Graph DBMS
#15  Key-value stores
Websiteaws.amazon.com/­rds/­aurorahbase.apache.orgorientdb.orgsqrrl.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlhbase.apache.org/­book.htmlwww.orientdb.com/­docs/­last/­index.html
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by PowersetOrientDB LTD; CallidusCloud; SAPAmazon infooriginally Sqrrl Data, Inc.
Initial release2015200820102012
Current release2.3.4, January 20213.2.29, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
All OS with a Java JDK (>= JDK 6)Linux
Data schemeyesschema-free, schema definition possibleschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyesnoSQL-like query language, no joinsno
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON 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
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesyes infoCoprocessors in JavaJava, Javascriptno
TriggersyesyesHooksno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocould be achieved with distributed queriesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and roles; record level security configurableCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Amazon AuroraHBaseOrientDBSqrrl
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