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DBMS > Amazon Aurora vs. CockroachDB vs. Quasardb vs. RisingWave

System Properties Comparison Amazon Aurora vs. CockroachDB vs. Quasardb vs. RisingWave

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCockroachDB  Xexclude from comparisonQuasardb  Xexclude from comparisonRisingWave  Xexclude from comparison
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.Distributed, high-performance timeseries databaseA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.cockroachlabs.comquasar.aiwww.risingwave.com/­database
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.cockroachlabs.com/­docsdoc.quasar.ai/­masterdocs.risingwave.com/­docs/­current/­intro
DeveloperAmazonCockroach LabsquasardbRisingWave Labs
Initial release2015201520092022
Current release24.1.0, May 20243.14.1, January 20241.2, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2.0
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++Rust
Server operating systemshostedLinux
macOS
Windows
BSD
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesdynamic schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryStandard SQL-types and JSON
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 indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLyesyes, wire compatible with PostgreSQLSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCHTTP APIJDBC
PostgreSQL wire protocol
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
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnonoUDFs in Python or Java
Triggersyesnonono
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 RAFTSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using RAFTSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modeyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlCryptographically strong user authentication and audit trailUsers and Roles

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More resources
Amazon AuroraCockroachDBQuasardbRisingWave
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