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DBMS > AgensGraph vs. DataFS vs. Firebird vs. Splice Machine

System Properties Comparison AgensGraph vs. DataFS vs. Firebird vs. Splice Machine

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDataFS  Xexclude from comparisonFirebird  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Firebird is an open source RDBMS forked from Borland's InterBaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
Relational DBMS
Object oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitebitnine.net/­agensgraphnewdatabase.comwww.firebirdsql.orgsplicemachine.com
Technical documentationbitnine.net/­documentationdev.mobiland.com/­Overview.xspwww.firebirdsql.org/­en/­reference-manualssplicemachine.com/­how-it-works
DeveloperBitnine Global Inc.Mobiland AGFirebird FoundationSplice Machine
Initial release201620182000 infoAs fork of Borland's InterBase2014
Current release2.1, December 20181.1.263, October 20225.0.0, January 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoInitial Developer's Public LicenseOpen Source infoAGPL 3.0, commercial license available
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++Java
Server operating systemsLinux
OS X
Windows
WindowsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemedepending on used data modelClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyes
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.nono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyesyes
APIs and other access methodsCypher Query Language
JDBC
.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C#
C++
VB.Net
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesPSQLyes infoJava
Triggersnono, except callback-events from server when changes happenedyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceProprietary Sharding systemnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes, multi-version concurrency control (MVCC)
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
User concepts infoAccess controlfine grained access rights according to SQL-standardWindows-ProfileUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard

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More resources
AgensGraphDataFSFirebirdSplice Machine
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