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DBMS > Amazon Aurora vs. CockroachDB vs. Dragonfly vs. Drizzle vs. Heroic

System Properties Comparison Amazon Aurora vs. CockroachDB vs. Dragonfly vs. Drizzle vs. Heroic

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCockroachDB  Xexclude from comparisonDragonfly  Xexclude from comparisonDrizzle  Xexclude from comparisonHeroic  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 drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSTime Series DBMS
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
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Websiteaws.amazon.com/­rds/­aurorawww.cockroachlabs.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
github.com/­spotify/­heroic
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.cockroachlabs.com/­docswww.dragonflydb.io/­docsspotify.github.io/­heroic
DeveloperAmazonCockroach LabsDragonflyDB team and community contributorsDrizzle project, originally started by Brian AkerSpotify
Initial release20152015202320082014
Current release23.1.1, May 20231.0, March 20237.2.4, September 2012
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availableOpen Source infoBSL 1.1Open Source infoGNU GPLOpen Source infoApache 2.0
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 languageGoC++C++Java
Server operating systemshostedLinux
macOS
Windows
LinuxFreeBSD
Linux
OS X
Data schemeyesdynamic schemascheme-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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
Secondary indexesyesyesnoyesyes infovia Elasticsearch
SQL infoSupport of SQLyesyes, wire compatible with PostgreSQLnoyes infowith proprietary extensionsno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCProprietary protocol infoRESP - REdis Serialization ProtocolJDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
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
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C
C++
Java
PHP
Server-side scripts infoStored proceduresyesnoLuanono
Triggersyesnopublish/subscribe channels provide some trigger functionalityno infohooks for callbacks inside the server can be used.no
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 RAFTShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using RAFTSource-replica replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of command blocks and scriptsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryesyes
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.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlPassword-based authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTP

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More resources
Amazon AuroraCockroachDBDragonflyDrizzleHeroic
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