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DBMS > Firebird vs. Hazelcast vs. KeyDB vs. SiteWhere

System Properties Comparison Firebird vs. Hazelcast vs. KeyDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonHazelcast  Xexclude from comparisonKeyDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseA widely adopted in-memory data gridAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSKey-value storeKey-value storeTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.firebirdsql.orghazelcast.comgithub.com/­Snapchat/­KeyDB
keydb.dev
github.com/­sitewhere/­sitewhere
Technical documentationwww.firebirdsql.org/­en/­reference-manualshazelcast.org/­imdg/­docsdocs.keydb.devsitewhere1.sitewhere.io/­index.html
DeveloperFirebird FoundationHazelcastEQ Alpha Technology Ltd.SiteWhere
Initial release2000 infoAs fork of Borland's InterBase200820192010
Current release5.0.0, January 20245.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSD-3Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaC++Java
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
All OS with a Java VMLinuxLinux
OS X
Windows
Data schemeyesschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.yes infothe object must implement a serialization strategynono
Secondary indexesyesyesyes infoby using the Redis Search moduleno
SQL infoSupport of SQLyesSQL-like query languagenono
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoHTTP REST
Supported programming languagesC
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#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresPSQLyes infoEvent Listeners, Executor ServicesLua
Triggersyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoReplicated MapMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlUsers with fine-grained authorization conceptRole-based access controlsimple password-based access control and ACLUsers with fine-grained authorization concept

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More resources
FirebirdHazelcastKeyDBSiteWhere
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