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DBMS > Amazon Aurora vs. Apache Jena - TDB vs. CouchDB vs. Google Cloud Bigtable

System Properties Comparison Amazon Aurora vs. Apache Jena - TDB vs. CouchDB vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelRelational DBMSRDF storeDocument storeKey-value store
Wide column store
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score2.91
Rank#93  Overall
#3  RDF stores
Score7.46
Rank#51  Overall
#7  Document stores
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Websiteaws.amazon.com/­rds/­aurorajena.apache.org/­documentation/­tdb/­index.htmlcouchdb.apache.orgcloud.google.com/­bigtable
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmljena.apache.org/­documentation/­tdb/­index.htmldocs.couchdb.org/­en/­stablecloud.google.com/­bigtable/­docs
DeveloperAmazonApache Software Foundation infooriginally developed by HP LabsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogle
Initial release2015200020052015
Current release4.9.0, July 20233.3.3, December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0Open Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlang
Server operating systemshostedAll OS with a Java VMAndroid
BSD
Linux
OS X
Solaris
Windows
hosted
Data schemeyesyes infoRDF Schemasschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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 indexesyesyesyes infovia viewsno
SQL infoSupport of SQLyesnonono
APIs and other access methodsADO.NET
JDBC
ODBC
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
RESTful HTTP/JSON APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyesView functions in JavaScriptno
Triggersyesyes infovia event handleryesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoimproved architecture with release 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
Internal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoTDB Transactionsno infoatomic operations within a single document possibleAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyes
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess control via Jena SecurityAccess rights for users can be defined per databaseAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Amazon AuroraApache Jena - TDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Google Cloud Bigtable
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