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DBMS > Dragonfly vs. mSQL vs. OrigoDB vs. ScyllaDB

System Properties Comparison Dragonfly vs. mSQL vs. OrigoDB vs. ScyllaDB

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionA 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 RDBMSA fully ACID in-memory object graph databaseCassandra and DynamoDB compatible wide column store
Primary database modelKey-value storeRelational DBMSDocument store
Object oriented DBMS
Wide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
hughestech.com.au/­products/­msqlorigodb.comwww.scylladb.com
Technical documentationwww.dragonflydb.io/­docsorigodb.com/­docsdocs.scylladb.com
DeveloperDragonflyDB team and community contributorsHughes TechnologiesRobert Friberg et alScyllaDB
Initial release202319942009 infounder the name LiveDB2015
Current release1.0, March 20234.4, October 2021ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercial infofree licenses can be providedOpen SourceOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++CC#C++
Server operating systemsLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Linux
Data schemescheme-freeyesyesschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesUser defined using .NET types and collectionsyes
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.nonono infocan be achieved using .NETno
Secondary indexesnoyesyesyes infocluster global secondary indices
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL-like DML and DDL statements (CQL)
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
.NET Client API
HTTP API
LINQ
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC
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
.NetFor CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresLuanoyesyes, Lua
Triggerspublish/subscribe channels provide some trigger functionalitynoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the servernoyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoin-memory tables
User concepts infoAccess controlPassword-based authenticationnoRole based authorizationAccess rights for users can be defined per object
More information provided by the system vendor
DragonflymSQL infoMini SQLOrigoDBScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
DragonflymSQL infoMini SQLOrigoDBScyllaDB
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