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

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

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHazelcast  Xexclude from comparisonIngres  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 frameworkGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A widely adopted in-memory data gridWell established RDBMS
Primary database modelRelational DBMSRDF storeKey-value store
Wide column store
Key-value storeRelational DBMS
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score3.75
Rank#84  Overall
#3  RDF stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorajena.apache.org/­documentation/­tdb/­index.htmlcloud.google.com/­bigtablehazelcast.comwww.actian.com/­databases/­ingres
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmljena.apache.org/­documentation/­tdb/­index.htmlcloud.google.com/­bigtable/­docshazelcast.org/­imdg/­docsdocs.actian.com/­ingres
DeveloperAmazonApache Software Foundation infooriginally developed by HP LabsGoogleHazelcastActian Corporation
Initial release20152000201520081974 infooriginally developed at University Berkely in early 1970s
Current release4.9.0, July 20235.3.6, November 202311.2, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0commercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemshostedAll OS with a Java VMhostedAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Data schemeyesyes infoRDF Schemasschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.yesnoyes infothe object must implement a serialization strategyno infobut tools for importing/exporting data from/to XML-files available
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesnonoSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
ODBC
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JCache
JPA
Memcached protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
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++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesyesnoyes infoEvent Listeners, Executor Servicesyes
Triggersyesyes infovia event handlernoyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneously
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoReplicated MapIngres Replicator
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoTDB TransactionsAtomic single-row operationsone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC
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.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess control via Jena SecurityAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlfine grained access rights according to SQL-standard

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More resources
Amazon AuroraApache Jena - TDBGoogle Cloud BigtableHazelcastIngres
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