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DBMS > Amazon Aurora vs. AnzoGraph DB vs. H2 vs. IRONdb vs. OrigoDB

System Properties Comparison Amazon Aurora vs. AnzoGraph DB vs. H2 vs. IRONdb vs. OrigoDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonH2  Xexclude from comparisonIRONdb  Xexclude from comparisonOrigoDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA fully ACID in-memory object graph database
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSTime Series DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websiteaws.amazon.com/­rds/­auroracambridgesemantics.com/­anzographwww.h2database.comwww.circonus.com/solutions/time-series-database/origodb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.h2database.com/­html/­main.htmldocs.circonus.com/irondb/category/getting-startedorigodb.com/­docs
DeveloperAmazonCambridge SemanticsThomas MuellerCirconus LLC.Robert Friberg et al
Initial release20152018200520172009 infounder the name LiveDB
Current release2.3, January 20212.2.220, July 2023V0.10.20, January 2018
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source
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 languageJavaC and C++C#
Server operating systemshostedLinuxAll OS with a Java VMLinuxLinux
Windows
Data schemeyesSchema-free and OWL/RDFS-schema supportyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyesSPARQL and SPARQL* as primary query language. Cypher preview.yesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsADO.NET
JDBC
ODBC
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
HTTP API.NET Client API
HTTP API
LINQ
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++
Java
Python
Java.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesJava Stored Procedures and User-Defined Functionsyes, in Luayes
Triggersyesnoyesnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingnoneAutomatic, metric affinity per nodehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication in MPP-ClusterWith clustering: 2 database servers on different computers operate on identical copies of a databaseconfigurable replication factor, datacenter awareSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesno infonot needed in graphsyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesfine grained access rights according to SQL-standardnoRole based authorization

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More resources
Amazon AuroraAnzoGraph DBH2IRONdbOrigoDB
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