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

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

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonFirebird  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLFirebird is an open source RDBMS forked from Borland's InterBaseA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSGraph DBMSRelational 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
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitebitnine.net/­agensgraphwww.firebirdsql.orgjanusgraph.orgsplicemachine.com
Technical documentationbitnine.net/­documentationwww.firebirdsql.org/­en/­reference-manualsdocs.janusgraph.orgsplicemachine.com/­how-it-works
DeveloperBitnine Global Inc.Firebird FoundationLinux Foundation; originally developed as Titan by AureliusSplice Machine
Initial release20162000 infoAs fork of Borland's InterBase20172014
Current release2.1, December 20185.0.0, January 20240.6.3, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoInitial Developer's Public LicenseOpen Source infoApache 2.0Open 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++JavaJava
Server operating systemsLinux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemedepending on used data modelyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyesyesnoyes
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Clojure
Java
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesPSQLyesyes infoJava
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptUser authentification and security via Rexster Graph ServerAccess rights for users, groups and roles according to SQL-standard

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More resources
AgensGraphFirebirdJanusGraph infosuccessor of TitanSplice Machine
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