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

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

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonCockroachDB  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 AmazonFast, reliable graph database built for the cloudCockroachDB 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.
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.50
Rank#49  Overall
#31  Relational DBMS
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score6.10
Rank#58  Overall
#33  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­neptunewww.cockroachlabs.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlaws.amazon.com/­neptune/­developer-resourceswww.cockroachlabs.com/­docs
DeveloperAmazonAmazonCockroach LabsDrizzle project, originally started by Brian Aker
Initial release2015201720152008
Current release23.1.1, May 20237.2.4, September 2012
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0, commercial license availableOpen Source infoGNU GPL
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemshostedhostedLinux
macOS
Windows
FreeBSD
Linux
OS X
Data schemeyesschema-freedynamic schemayes
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 indexesyesnoyesyes
SQL infoSupport of SQLyesnoyes, wire compatible with PostgreSQLyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
ODBC
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBCJDBC
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#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C++
Java
PHP
Server-side scripts infoStored proceduresyesnonono
Triggersyesnonono infohooks for callbacks inside the server can be used.
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonehorizontal 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
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replication using RAFTMulti-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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyesyes
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 persistentyesyes infowith encyption-at-restyesyes
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-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlPluggable authentication mechanisms infoe.g. LDAP, HTTP

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More resources
Amazon AuroraAmazon NeptuneCockroachDBDrizzle
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Recent citations in the news

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