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DBMS > CockroachDB vs. Dragonfly vs. JaguarDB vs. RethinkDB

System Properties Comparison CockroachDB vs. Dragonfly vs. JaguarDB vs. RethinkDB

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonDragonfly  Xexclude from comparisonJaguarDB  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionCockroachDB 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 instancePerformant, highly scalable DBMS for AI and IoT applicationsDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSKey-value storeKey-value store
Vector DBMS
Document store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.74
Rank#67  Overall
#36  Relational DBMS
Score0.44
Rank#255  Overall
#38  Key-value stores
Score0.00
Rank#385  Overall
#61  Key-value stores
#16  Vector DBMS
Score2.58
Rank#105  Overall
#20  Document stores
Websitewww.cockroachlabs.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.jaguardb.comrethinkdb.com
Technical documentationwww.cockroachlabs.com/­docswww.dragonflydb.io/­docswww.jaguardb.com/­support.htmlrethinkdb.com/­docs
DeveloperCockroach LabsDragonflyDB team and community contributorsDataJaguar, Inc.The Linux Foundation infosince July 2017
Initial release2015202320152009
Current release24.1.0, May 20241.0, March 20233.3 July 20232.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoBSL 1.1Open Source infoGPL V3.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C++ infothe server part. Clients available in other languagesC++
Server operating systemsLinux
macOS
Windows
LinuxLinuxLinux
OS X
Windows
Data schemedynamic schemascheme-freeyesschema-free
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyes infostring, binary, float, bool, date, geometry
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.nononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersno
APIs and other access methodsJDBCProprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
Supported programming languagesC#
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++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresnoLuano
Triggersnopublish/subscribe channels provide some trigger functionalitynoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodeshorizontal 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 inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTSource-replica replicationMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsnoAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes infoMVCC based
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlRole-based access controlPassword-based authenticationrights management via user accountsyes infousers and table-level permissions

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CockroachDBDragonflyJaguarDBRethinkDB
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