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DBMS > Amazon Aurora vs. Apache Druid vs. HugeGraph vs. Quasardb vs. searchxml

System Properties Comparison Amazon Aurora vs. Apache Druid vs. HugeGraph vs. Quasardb vs. searchxml

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Druid  Xexclude from comparisonHugeGraph  Xexclude from comparisonQuasardb  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA fast-speed and highly-scalable Graph DBMSDistributed, high-performance timeseries databaseDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Graph DBMSTime Series DBMSNative XML DBMS
Search engine
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
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websiteaws.amazon.com/­rds/­auroradruid.apache.orggithub.com/­hugegraph
hugegraph.apache.org
quasar.aiwww.searchxml.net/­category/­products
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldruid.apache.org/­docs/­latest/­designhugegraph.apache.org/­docsdoc.quasar.ai/­masterwww.searchxml.net/­support/­handouts
DeveloperAmazonApache Software Foundation and contributorsBaiduquasardbinformationpartners gmbh
Initial release20152012201820092015
Current release29.0.1, April 20240.93.14.1, January 20241.0
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C++
Server operating systemshostedLinux
OS X
Unix
Linux
macOS
Unix
BSD
Linux
OS X
Windows
Windows
Data schemeyesyes infoschema-less columns are supportedyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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.yesnononoyes
Secondary indexesyesyesyes infoalso supports composite index and range indexyes infowith tagsyes
SQL infoSupport of SQLyesSQL for queryingnoSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Groovy
Java
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyesnoasynchronous Gremlin script jobsnoyes infoon the application server
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infomanual/auto, time-basedyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, via HDFS, S3 or other storage enginesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication with selectable replication factoryes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkwith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoTransient modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers, roles and permissionsCryptographically strong user authentication and audit trailDomain, group and role-based access control at the document level and for application services

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More resources
Amazon AuroraApache DruidHugeGraphQuasardbsearchxml
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