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DBMS > Amazon Aurora vs. Apache Druid vs. H2 vs. OrigoDB

System Properties Comparison Amazon Aurora vs. Apache Druid vs. H2 vs. OrigoDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Druid  Xexclude from comparisonH2  Xexclude from comparisonOrigoDB  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 dataFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A fully ACID in-memory object graph database
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.50
Rank#49  Overall
#31  Relational DBMS
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Websiteaws.amazon.com/­rds/­auroradruid.apache.orgwww.h2database.comorigodb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldruid.apache.org/­docs/­latest/­designwww.h2database.com/­html/­main.htmlorigodb.com/­docs
DeveloperAmazonApache Software Foundation and contributorsThomas MuellerRobert Friberg et al
Initial release2015201220052009 infounder the name LiveDB
Current release29.0.1, April 20242.2.220, July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#
Server operating systemshostedLinux
OS X
Unix
All OS with a Java VMLinux
Windows
Data schemeyesyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or dateyesyesyesUser 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.yesnonono infocan be achieved using .NET
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL for queryingyesno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
.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
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Java.Net
Server-side scripts infoStored proceduresyesnoJava Stored Procedures and User-Defined Functionsyes
Triggersyesnoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infomanual/auto, time-basednonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, via HDFS, S3 or other storage enginesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
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 systemfine grained access rights according to SQL-standardRole based authorization

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More resources
Amazon AuroraApache DruidH2OrigoDB
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