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DBMS > Amazon Aurora vs. AnzoGraph DB vs. Drizzle vs. Ehcache vs. FeatureBase

System Properties Comparison Amazon Aurora vs. AnzoGraph DB vs. Drizzle vs. Ehcache vs. FeatureBase

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonDrizzle  Xexclude from comparisonEhcache  Xexclude from comparisonFeatureBase  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle 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 virtualizationMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A widely adopted Java cache with tiered storage optionsReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.31
Rank#292  Overall
#135  Relational DBMS
Websiteaws.amazon.com/­rds/­auroracambridgesemantics.com/­anzographwww.ehcache.orgwww.featurebase.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.ehcache.org/­documentationdocs.featurebase.com
DeveloperAmazonCambridge SemanticsDrizzle project, originally started by Brian AkerTerracotta Inc, owned by Software AGMolecula and Pilosa Open Source Contributors
Initial release20152018200820092017
Current release2.3, January 20217.2.4, September 20123.10.0, March 20222022, May 2022
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses availablecommercial
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++JavaGo
Server operating systemshostedLinuxFreeBSD
Linux
OS X
All OS with a Java VMLinux
macOS
Data schemeyesSchema-free and OWL/RDFS-schema supportyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnonono
Secondary indexesyesnoyesnono
SQL infoSupport of SQLyesSPARQL and SPARQL* as primary query language. Cypher preview.yes infowith proprietary extensionsnoSQL queries
APIs and other access methodsADO.NET
JDBC
ODBC
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBCJCachegRPC
JDBC
Kafka Connector
ODBC
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
C
C++
Java
PHP
JavaJava
Python
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesnono
Triggersyesnono infohooks for callbacks inside the server can be used.yes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingShardingSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication in MPP-ClusterMulti-source replication
Source-replica replication
yes infoby using Terracotta Serveryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterTunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integrityyesno infonot needed in graphsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyes infosupports JTA and can work as an XA resourceyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing a tiered cache-storage approachyes, using Linux fsync
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPno

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More resources
Amazon AuroraAnzoGraph DBDrizzleEhcacheFeatureBase
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