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DBMS > Firebird vs. ITTIA vs. LeanXcale

System Properties Comparison Firebird vs. ITTIA vs. LeanXcale

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Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonITTIA  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseEdge Time Series DBMS with Real-Time Stream ProcessingA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMSTime Series DBMSKey-value store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Websitewww.firebirdsql.orgwww.ittia.comwww.leanxcale.com
Technical documentationwww.firebirdsql.org/­en/­reference-manuals
DeveloperFirebird FoundationITTIA L.L.C.LeanXcale
Initial release2000 infoAs fork of Borland's InterBase20072015
Current release5.0.0, January 20248.7
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C and C++
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
Windows
Data schemeyesFixed schemayes
Typing infopredefined data types such as float or dateyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Interval
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.no
Secondary indexesyesyes
SQL infoSupport of SQLyesyesyes infothrough Apache Derby
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
WebSocket
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C
C++
JavaScript (Node.js)
Python
C
Java
Scala
Server-side scripts infoStored proceduresPSQLyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers with fine-grained authorization conceptDatabase file passwords

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More resources
FirebirdITTIALeanXcale
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