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DBMS > BigObject vs. CockroachDB vs. Dragonfly vs. mSQL

System Properties Comparison BigObject vs. CockroachDB vs. Dragonfly vs. mSQL

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCockroachDB  Xexclude from comparisonDragonfly  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesCockroachDB 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 instancemSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Websitebigobject.iowww.cockroachlabs.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
hughestech.com.au/­products/­msql
Technical documentationdocs.bigobject.iowww.cockroachlabs.com/­docswww.dragonflydb.io/­docs
DeveloperBigObject, Inc.Cockroach LabsDragonflyDB team and community contributorsHughes Technologies
Initial release2015201520231994
Current release24.1.0, May 20241.0, March 20234.4, October 2021
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0, commercial license availableOpen Source infoBSL 1.1commercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
macOS
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesdynamic schemascheme-freeyes
Typing infopredefined data types such as float or dateyesyesstrings, hashes, lists, sets, sorted sets, bit arraysyes
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 indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes, wire compatible with PostgreSQLnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBCProprietary 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++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresLuanoLuano
Triggersnonopublish/subscribe channels provide some trigger functionalityno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal 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 RAFTnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using RAFTSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of command blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes, strict serializability by the serverno
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.yesnoyesno
User concepts infoAccess controlnoRole-based access controlPassword-based authenticationno

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More resources
BigObjectCockroachDBDragonflymSQL infoMini SQL
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