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DBMS > Dragonfly vs. Firebird vs. Hazelcast vs. Splice Machine

System Properties Comparison Dragonfly vs. Firebird vs. Hazelcast vs. Splice Machine

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonFirebird  Xexclude from comparisonHazelcast  Xexclude from comparisonSplice Machine  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 instanceFirebird is an open source RDBMS forked from Borland's InterBaseA widely adopted in-memory data gridOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.firebirdsql.orghazelcast.comsplicemachine.com
Technical documentationwww.dragonflydb.io/­docswww.firebirdsql.org/­en/­reference-manualshazelcast.org/­imdg/­docssplicemachine.com/­how-it-works
DeveloperDragonflyDB team and community contributorsFirebird FoundationHazelcastSplice Machine
Initial release20232000 infoAs fork of Borland's InterBase20082014
Current release1.0, March 20235.0.0, January 20245.3.6, November 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2; commercial licenses availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++JavaJava
Server operating systemsLinuxAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
Data schemescheme-freeyesschema-freeyes
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.noyes infothe object must implement a serialization strategy
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesSQL-like query languageyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
Native Spark Datasource
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#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresLuaPSQLyes infoEvent Listeners, Executor Servicesyes infoJava
Triggerspublish/subscribe channels provide some trigger functionalityyesyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes infoReplicated MapMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes, multi-version concurrency control (MVCC)
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.yesyesyes
User concepts infoAccess controlPassword-based authenticationUsers with fine-grained authorization conceptRole-based access controlAccess rights for users, groups and roles according to SQL-standard

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More resources
DragonflyFirebirdHazelcastSplice Machine
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