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DBMS > Amazon Aurora vs. Drizzle vs. H2 vs. Heroic vs. SQream DB

System Properties Comparison Amazon Aurora vs. Drizzle vs. H2 vs. Heroic vs. SQream DB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDrizzle  Xexclude from comparisonH2  Xexclude from comparisonHeroic  Xexclude from comparisonSQream DB  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 AmazonMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearcha GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSRelational 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
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.h2database.comgithub.com/­spotify/­heroicsqream.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.h2database.com/­html/­main.htmlspotify.github.io/­heroicdocs.sqream.com
DeveloperAmazonDrizzle project, originally started by Brian AkerThomas MuellerSpotifySQream Technologies
Initial release20152008200520142017
Current release7.2.4, September 20122.2.220, July 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0commercial
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++JavaJavaC++, CUDA, Haskell, Java, Scala
Server operating systemshostedFreeBSD
Linux
OS X
All OS with a Java VMLinux
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes, ANSI Standard SQL Types
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.yesnono
Secondary indexesyesyesyesyes infovia Elasticsearchno
SQL infoSupport of SQLyesyes infowith proprietary extensionsyesnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCJDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
.Net
JDBC
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
C++
Java
PHP
JavaC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnoJava Stored Procedures and User-Defined Functionsnouser defined functions in Python
Triggersyesno infohooks for callbacks inside the server can be used.yesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
With clustering: 2 database servers on different computers operate on identical copies of a databaseyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard

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More resources
Amazon AuroraDrizzleH2HeroicSQream DB
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