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DBMS > Fujitsu Enterprise Postgres vs. JaguarDB vs. JanusGraph vs. Sqrrl

System Properties Comparison Fujitsu Enterprise Postgres vs. JaguarDB vs. JanusGraph vs. Sqrrl

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonJaguarDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Performant, highly scalable DBMS for AI and IoT applicationsA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSKey-value store
Vector DBMS
Graph DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#15  Vector DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Websitewww.postgresql.fastware.comwww.jaguardb.comjanusgraph.orgsqrrl.com
Technical documentationwww.postgresql.fastware.com/­product-manualswww.jaguardb.com/­support.htmldocs.janusgraph.org
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyDataJaguar, Inc.Linux Foundation; originally developed as Titan by AureliusAmazon infooriginally Sqrrl Data, Inc.
Initial release201520172012
Current releaseFujitsu Enterprise Postgres 14, January 20223.3 July 20230.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++ infothe server part. Clients available in other languagesJavaJava
Server operating systemsLinux
Windows
LinuxLinux
OS X
Unix
Windows
Linux
Data schemeyesyesyesschema-free
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 SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Clojure
Java
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functionsnoyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationyesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.no
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsUser authentification and security via Rexster Graph ServerCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Fujitsu Enterprise PostgresJaguarDBJanusGraph infosuccessor of TitanSqrrl
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