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DBMS > Amazon Aurora vs. LevelDB vs. RavenDB vs. RDF4J vs. UniData,UniVerse

System Properties Comparison Amazon Aurora vs. LevelDB vs. RavenDB vs. RDF4J vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonLevelDB  Xexclude from comparisonRavenDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSKey-value storeDocument storeRDF storeMultivalue DBMS
Secondary database modelsDocument storeGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.50
Rank#49  Overall
#31  Relational DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score3.01
Rank#101  Overall
#17  Document stores
Score0.71
Rank#231  Overall
#9  RDF stores
Score3.47
Rank#93  Overall
#2  Multivalue DBMS
Websiteaws.amazon.com/­rds/­auroragithub.com/­google/­leveldbravendb.netrdf4j.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdravendb.net/­docsrdf4j.org/­documentationdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperAmazonGoogleHibernating RhinosSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Rocket Software
Initial release20152011201020041985
Current release1.23, February 20215.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoAGPL version 3, commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
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 languageC++C#JavaC
Server operating systemshostedIllumos
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesnonoyesoptional
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.yesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesnoSQL-like query language (RQL)noyes
APIs and other access methodsADO.NET
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based 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
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyesnoyesyesyes
Triggersyesnoyesyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction availableACID infoIsolation support depends on the API usedACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAuthorization levels configured per client per databasenoAccess rights according to SQL-standard and operating system based

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More resources
Amazon AuroraLevelDBRavenDBRDF4J infoformerly known as SesameUniData,UniVerse
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