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DBMS > Dragonfly vs. GridGain vs. JaguarDB vs. Microsoft Azure SQL Database

System Properties Comparison Dragonfly vs. GridGain vs. JaguarDB vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGridGain  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  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 instanceGridGain is an in-memory computing platform, built on Apache IgnitePerformant, highly scalable DBMS for AI and IoT applicationsDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelKey-value storeKey-value store
Relational DBMS
Key-value store
Vector DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.gridgain.comwww.jaguardb.comazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationwww.dragonflydb.io/­docswww.gridgain.com/­docs/­index.htmlwww.jaguardb.com/­support.htmldocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperDragonflyDB team and community contributorsGridGain Systems, Inc.DataJaguar, Inc.Microsoft
Initial release2023200720152010
Current release1.0, March 2023GridGain 8.5.13.3 July 2023V12
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialOpen Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .NetC++ infothe server part. Clients available in other languagesC++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linuxhosted
Data schemescheme-freeyesyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
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.noyesnoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
ADO.NET
JDBC
ODBC
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++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresLuayes (compute grid and cache interceptors can be used instead)noTransact SQL
Triggerspublish/subscribe channels provide some trigger functionalityyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes (replicated cache)Multi-source replicationyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
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.yesyesno
User concepts infoAccess controlPassword-based authenticationSecurity Hooks for custom implementationsrights management via user accountsfine grained access rights according to SQL-standard

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More resources
DragonflyGridGainJaguarDBMicrosoft Azure SQL Database infoformerly SQL Azure
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