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DBMS > Ehcache vs. LevelDB vs. Postgres-XL vs. RavenDB vs. RDF4J

System Properties Comparison Ehcache vs. LevelDB vs. Postgres-XL vs. RavenDB vs. RDF4J

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonLevelDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRavenDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelKey-value storeKey-value storeRelational DBMSDocument storeRDF store
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.ehcache.orggithub.com/­google/­leveldbwww.postgres-xl.orgravendb.netrdf4j.org
Technical documentationwww.ehcache.org/­documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.postgres-xl.org/­documentationravendb.net/­docsrdf4j.org/­documentation
DeveloperTerracotta Inc, owned by Software AGGoogleHibernating RhinosSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release200920112014 infosince 2012, originally named StormDB20102004
Current release3.10.0, March 20221.23, February 202110 R1, October 20185.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSDOpen Source infoMozilla public licenseOpen Source infoAGPL version 3, commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++CC#Java
Server operating systemsAll OS with a Java VMIllumos
Linux
OS X
Windows
Linux
macOS
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesnoyesnoyes
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 infoXML type, but no XML query functionality
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyes infodistributed, parallel query executionSQL-like query language (RQL)no
APIs and other access methodsJCacheADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJavaC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresnonouser defined functionsyesyes
Triggersyes infoCache Event Listenersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Servernonehorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServernoneMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACID infoMVCCACID, Cluster-wide transaction availableACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyes infowith automatic compression on writesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnonofine grained access rights according to SQL-standardAuthorization levels configured per client per databaseno

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More resources
EhcacheLevelDBPostgres-XLRavenDBRDF4J infoformerly known as Sesame
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