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DBMS > Amazon Aurora vs. Badger vs. Datomic vs. OrientDB vs. Quasardb

System Properties Comparison Amazon Aurora vs. Badger vs. Datomic vs. OrientDB vs. Quasardb

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonBadger  Xexclude from comparisonDatomic  Xexclude from comparisonOrientDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMulti-model DBMS (Document, Graph, Key/Value)Distributed, high-performance timeseries database
Primary database modelRelational DBMSKey-value storeRelational DBMSDocument store
Graph DBMS
Key-value store
Time Series DBMS
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
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteaws.amazon.com/­rds/­auroragithub.com/­dgraph-io/­badgerwww.datomic.comorientdb.orgquasar.ai
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comwww.orientdb.com/­docs/­last/­index.htmldoc.quasar.ai/­master
DeveloperAmazonDGraph LabsCognitectOrientDB LTD; CallidusCloud; SAPquasardb
Initial release20152017201220102009
Current release1.0.6735, June 20233.2.29, March 20243.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infolimited edition freeOpen Source infoApache version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageGoJava, ClojureJavaC++
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAll OS with a Java JDK (>= JDK 6)BSD
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-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 dateyesnoyesyesyes infointeger and binary
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.yesnononono
Secondary indexesyesnoyesyesyes infowith tags
SQL infoSupport of SQLyesnonoSQL-like query language, no joinsSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APITinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
GoClojure
Java
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesnoyes infoTransaction FunctionsJava, Javascriptno
TriggersyesnoBy using transaction functionsHooksno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenone infoBut extensive use of caching in the application peersShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenone infoBut extensive use of caching in the application peersMulti-source replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocould be achieved with distributed querieswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes inforecommended only for testing and developmentyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoAccess rights for users and roles; record level security configurableCryptographically strong user authentication and audit trail

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More resources
Amazon AuroraBadgerDatomicOrientDBQuasardb
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