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DBMS > Amazon Aurora vs. Amazon DocumentDB vs. Hawkular Metrics vs. IBM Cloudant vs. JanusGraph

System Properties Comparison Amazon Aurora vs. Amazon DocumentDB vs. Hawkular Metrics vs. IBM Cloudant vs. JanusGraph

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Database as a Service offering based on Apache CouchDBA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelRelational DBMSDocument storeTime Series DBMSDocument storeGraph 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
Score1.91
Rank#132  Overall
#24  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score1.94
Rank#129  Overall
#12  Graph DBMS
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­documentdbwww.hawkular.orgwww.ibm.com/­products/­cloudantjanusgraph.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlaws.amazon.com/­documentdb/­resourceswww.hawkular.org/­hawkular-metrics/­docs/­user-guidecloud.ibm.com/­docs/­Cloudantdocs.janusgraph.org
DeveloperAmazonCommunity supported by Red HatIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Linux Foundation; originally developed as Titan by Aurelius
Initial release20152019201420102017
Current release0.6.3, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangJava
Server operating systemshostedhostedLinux
OS X
Windows
hostedLinux
OS X
Unix
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLyesnononono
APIs and other access methodsADO.NET
JDBC
ODBC
proprietary protocol using JSON (MongoDB compatible)HTTP RESTRESTful HTTP/JSON APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresyesnonoView functions (Map-Reduce) in JavaScriptyes
Triggersyesnoyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infobased on CassandraShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possiblenonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsnono infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
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 rights for users and rolesnoAccess rights for users can be defined per databaseUser authentification and security via Rexster Graph Server

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More resources
Amazon AuroraAmazon DocumentDBHawkular MetricsIBM CloudantJanusGraph infosuccessor of Titan
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