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DBMS > Citus vs. Firebird vs. Google BigQuery vs. Oracle

System Properties Comparison Citus vs. Firebird vs. Google BigQuery vs. Oracle

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonFirebird  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonOracle  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 InterBaseLarge scale data warehouse service with append-only tablesWidely used RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
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
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Websitewww.citusdata.comwww.firebirdsql.orgcloud.google.com/­bigquerywww.oracle.com/­database
Technical documentationdocs.citusdata.comwww.firebirdsql.org/­en/­reference-manualscloud.google.com/­bigquery/­docsdocs.oracle.com/­en/­database
DeveloperFirebird FoundationGoogleOracle
Initial release20102000 infoAs fork of Borland's InterBase20101980
Current release8.1, December 20185.0.0, January 202423c, September 2023
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoInitial Developer's Public Licensecommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and C++C and C++
Server operating systemsLinuxAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesyesyesyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or dateyesyesyesyes
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 functionalitynoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsyesyesyes infowith proprietary extensions
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
RESTful HTTP/JSON APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
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
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
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.PSQLuser defined functions infoin JavaScriptPL/SQL infoalso stored procedures in Java possible
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding, horizontal partitioning
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
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoSince BigQuery is designed for querying dataACID infoisolation level can be parameterized
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
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.nonoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard

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