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

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

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCockroachDB  Xexclude from comparisonDolt  Xexclude from comparisonDrizzle  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 AmazonCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.A 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.
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
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
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.96
Rank#193  Overall
#90  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.cockroachlabs.comgithub.com/­dolthub/­dolt
www.dolthub.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.cockroachlabs.com/­docsdocs.dolthub.com
DeveloperAmazonCockroach LabsDoltHub IncDrizzle project, originally started by Brian Aker
Initial release2015201520182008
Current release23.1.1, May 20237.2.4, September 2012
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availableOpen Source infoApache Version 2.0Open Source infoGNU GPL
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 languageGoGoC++
Server operating systemshostedLinux
macOS
Windows
Linux
macOS
Windows
FreeBSD
Linux
OS X
Data schemeyesdynamic schemayesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyesyes, wire compatible with PostgreSQLyesyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCCLI Client
HTTP REST
JDBC
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++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
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
Server-side scripts infoStored proceduresyesnoyes infocurrently in alpha releaseno
Triggersyesnoyesno infohooks for callbacks inside the server can be used.
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using RAFTA 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
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlOnly one user is configurable, and must be specified in the config file at startupPluggable authentication mechanisms infoe.g. LDAP, HTTP

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More resources
Amazon AuroraCockroachDBDoltDrizzle
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