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DBMS > Dragonfly vs. Firebird vs. Hazelcast vs. Sqrrl vs. TerarkDB

System Properties Comparison Dragonfly vs. Firebird vs. Hazelcast vs. Sqrrl vs. TerarkDB

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonFirebird  Xexclude from comparisonHazelcast  Xexclude from comparisonSqrrl  Xexclude from comparisonTerarkDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
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 gridAdaptable, secure NoSQL built on Apache AccumuloA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value storeRelational DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Key-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.firebirdsql.orghazelcast.comsqrrl.comgithub.com/­bytedance/­terarkdb
Technical documentationwww.dragonflydb.io/­docswww.firebirdsql.org/­en/­reference-manualshazelcast.org/­imdg/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDragonflyDB team and community contributorsFirebird FoundationHazelcastAmazon infooriginally Sqrrl Data, Inc.ByteDance, originally Terark
Initial release20232000 infoAs fork of Borland's InterBase200820122016
Current release1.0, March 20235.0.0, January 20245.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++JavaJavaC++
Server operating systemsLinuxAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
All OS with a Java VMLinux
Data schemescheme-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyesno
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 strategyno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyesSQL-like query languagenono
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
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
C++ API
Java API
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
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C++
Java
Server-side scripts infoStored proceduresLuaPSQLyes infoEvent Listeners, Executor Servicesnono
Triggerspublish/subscribe channels provide some trigger functionalityyesyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infomaking use of Hadoopnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes infoReplicated Mapselectable replication factor infomaking use of Hadoopnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesnonono
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 commitedAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 controlCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)no

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More resources
DragonflyFirebirdHazelcastSqrrlTerarkDB
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