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DBMS > Amazon Aurora vs. CockroachDB vs. Drizzle vs. Hive vs. STSdb

System Properties Comparison Amazon Aurora vs. CockroachDB vs. Drizzle vs. Hive vs. STSdb

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCockroachDB  Xexclude from comparisonDrizzle  Xexclude from comparisonHive  Xexclude from comparisonSTSdb  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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.data warehouse software for querying and managing large distributed datasets, built on HadoopKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSKey-value store
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
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteaws.amazon.com/­rds/­aurorawww.cockroachlabs.comhive.apache.orggithub.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.cockroachlabs.com/­docscwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAmazonCockroach LabsDrizzle project, originally started by Brian AkerApache Software Foundation infoinitially developed by FacebookSTS Soft SC
Initial release20152015200820122011
Current release23.1.1, May 20237.2.4, September 20123.1.3, April 20224.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availableOpen Source infoGNU GPLOpen Source infoApache Version 2Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++JavaC#
Server operating systemshostedLinux
macOS
Windows
FreeBSD
Linux
OS X
All OS with a Java VMWindows
Data schemeyesdynamic schemayesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes infoprimitive types and user defined types (classes)
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.yesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyes, wire compatible with PostgreSQLyes infowith proprietary extensionsSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCJDBCJDBC
ODBC
Thrift
.NET Client 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++
Java
PHP
C++
Java
PHP
Python
C#
Java
Server-side scripts infoStored proceduresyesnonoyes infouser defined functions and integration of map-reduceno
Triggersyesnono infohooks for callbacks inside the server can be used.nono
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 RAFTShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using RAFTMulti-source replication
Source-replica replication
selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and rolesno

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More resources
Amazon AuroraCockroachDBDrizzleHiveSTSdb
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