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DBMS > Ehcache vs. Fujitsu Enterprise Postgres vs. JanusGraph vs. MarkLogic

System Properties Comparison Ehcache vs. Fujitsu Enterprise Postgres vs. JanusGraph vs. MarkLogic

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Operational and transactional Enterprise NoSQL database
Primary database modelKey-value storeRelational DBMSGraph DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.79
Rank#66  Overall
#8  Key-value stores
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score1.85
Rank#134  Overall
#12  Graph DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Websitewww.ehcache.orgwww.postgresql.fastware.comjanusgraph.orgwww.progress.com/­marklogic
Technical documentationwww.ehcache.org/­documentationwww.postgresql.fastware.com/­product-manualsdocs.janusgraph.orgwww.progress.com/­marklogic/­documentation
DeveloperTerracotta Inc, owned by Software AGPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyLinux Foundation; originally developed as Titan by AureliusMarkLogic Corp.
Initial release200920172001
Current release3.10.0, March 2022Fujitsu Enterprise Postgres 14, January 20221.0.0, October 202311.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaC++
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free infoSchema can be enforced
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.nonoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesnoyes infoSQL92
APIs and other access methodsJCacheADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesJava.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Clojure
Java
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyesyes infovia XQuery or JavaScript
Triggersyes infoCache Event Listenersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverpartitioning by range, list and by hashyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes 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.yesyes, with Range Indexes
User concepts infoAccess controlnofine grained access rights according to SQL-standardUser authentification and security via Rexster Graph ServerRole-based access control at the document and subdocument levels

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EhcacheFujitsu Enterprise PostgresJanusGraph infosuccessor of TitanMarkLogic
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