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DBMS > Amazon Aurora vs. CockroachDB vs. DolphinDB vs. Drizzle vs. etcd

System Properties Comparison Amazon Aurora vs. CockroachDB vs. DolphinDB vs. Drizzle vs. etcd

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCockroachDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonDrizzle  Xexclude from comparisonetcd  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.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A distributed reliable key-value store
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSKey-value store
Secondary database modelsDocument storeRelational DBMS
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
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Websiteaws.amazon.com/­rds/­aurorawww.cockroachlabs.comwww.dolphindb.cometcd.io
github.com/­etcd-io/­etcd
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.cockroachlabs.com/­docsdocs.dolphindb.cn/­en/­help200/­index.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
DeveloperAmazonCockroach LabsDolphinDB, IncDrizzle project, originally started by Brian Aker
Initial release2015201520182008
Current release23.1.1, May 2023v2.00.4, January 20227.2.4, September 20123.4, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availablecommercial infofree community version availableOpen Source infoGNU GPLOpen Source infoApache Version 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++Go
Server operating systemshostedLinux
macOS
Windows
Linux
Windows
FreeBSD
Linux
OS X
FreeBSD
Linux
Windows infoexperimental
Data schemeyesdynamic schemayesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesyesyesyesno
SQL infoSupport of SQLyesyes, wire compatible with PostgreSQLSQL-like query languageyes infowith proprietary extensionsno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBCgRPC
JSON over HTTP
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++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C++
Java
PHP
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Server-side scripts infoStored proceduresyesnoyesnono
Triggersyesnonono infohooks for callbacks inside the server can be used.yes, watching key changes
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 RAFThorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using RAFTyesMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACIDno
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.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlAdministrators, Users, GroupsPluggable authentication mechanisms infoe.g. LDAP, HTTPno

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More resources
Amazon AuroraCockroachDBDolphinDBDrizzleetcd
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