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DBMS > Citus vs. Firebird vs. HBase vs. KeyDB

System Properties Comparison Citus vs. Firebird vs. HBase vs. KeyDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonFirebird  Xexclude from comparisonHBase  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLFirebird is an open source RDBMS forked from Borland's InterBaseWide-column store based on Apache Hadoop and on concepts of BigTableAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelRelational DBMSRelational DBMSWide column storeKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Websitewww.citusdata.comwww.firebirdsql.orghbase.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationdocs.citusdata.comwww.firebirdsql.org/­en/­reference-manualshbase.apache.org/­book.htmldocs.keydb.dev
DeveloperFirebird FoundationApache Software Foundation infoApache top-level project, originally developed by PowersetEQ Alpha Technology Ltd.
Initial release20102000 infoAs fork of Borland's InterBase20082019
Current release8.1, December 20185.0.0, January 20242.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoInitial Developer's Public LicenseOpen Source infoApache version 2Open Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++JavaC++
Server operating systemsLinuxAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Data schemeyesyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROpartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesyesnoyes infoby using the Redis Search module
SQL infoSupport of SQLyes infostandard, with numerous extensionsyesnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Java API
RESTful HTTP API
Thrift
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
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 proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.PSQLyes infoCoprocessors in JavaLua
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)Optimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACsimple password-based access control and ACL

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More resources
CitusFirebirdHBaseKeyDB
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