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DBMS > Amazon Aurora vs. Dolt vs. Drizzle vs. Ehcache

System Properties Comparison Amazon Aurora vs. Dolt vs. Drizzle vs. Ehcache

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDolt  Xexclude from comparisonDrizzle  Xexclude from comparisonEhcache  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 AmazonA MySQL compatible DBMS with Git-like versioning of data and schemaMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A widely adopted Java cache with tiered storage options
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Websiteaws.amazon.com/­rds/­auroragithub.com/­dolthub/­dolt
www.dolthub.com
www.ehcache.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.dolthub.comwww.ehcache.org/­documentation
DeveloperAmazonDoltHub IncDrizzle project, originally started by Brian AkerTerracotta Inc, owned by Software AG
Initial release2015201820082009
Current release7.2.4, September 20123.10.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Java
Server operating systemshostedLinux
macOS
Windows
FreeBSD
Linux
OS X
All OS with a Java VM
Data schemeyesyesyesschema-free
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.yesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyesyes infowith proprietary extensionsno
APIs and other access methodsADO.NET
JDBC
ODBC
CLI Client
HTTP REST
JDBCJCache
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Ada
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
Java
Server-side scripts infoStored proceduresyesyes infocurrently in alpha releasenono
Triggersyesyesno infohooks for callbacks inside the server can be used.yes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingSharding infoby using Terracotta Server
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Multi-source replication
Source-replica replication
yes infoby using Terracotta Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyes infosupports JTA and can work as an XA resource
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing a tiered cache-storage approach
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardOnly one user is configurable, and must be specified in the config file at startupPluggable authentication mechanisms infoe.g. LDAP, HTTPno

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More resources
Amazon AuroraDoltDrizzleEhcache
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Recent citations in the news

Baffle enables computation on encrypted Amazon RDS and Aurora data – Blocks and Files
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Join the preview of Amazon Aurora Limitless Database | Amazon Web Services
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