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DBMS > LevelDB vs. RavenDB vs. RDF4J vs. TimescaleDB

System Properties Comparison LevelDB vs. RavenDB vs. RDF4J vs. TimescaleDB

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonRavenDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOpen 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.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeDocument storeRDF storeTime Series DBMS
Secondary database modelsGraph DBMS infoexperimentalRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.86
Rank#89  Overall
#15  Key-value stores
Score3.45
Rank#81  Overall
#14  Document stores
Score0.39
Rank#220  Overall
#10  RDF stores
Score1.92
Rank#114  Overall
#7  Time Series DBMS
Websitegithub.com/­google/­leveldbravendb.netrdf4j.orgwww.timescale.com
Technical documentationgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mdravendb.net/­docsdocs.rdf4j.orgdocs.timescale.com
DeveloperGoogleHibernating RhinosSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Timescale
Initial release2011201020042017
Current release1.22, May 20194.2, May 2019
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoAGPL version 3, commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#JavaC
Server operating systemsIllumos
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or datenonoyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query language (RQL)noyes infofull PostgreSQL SQL syntax
APIs and other access methodsC++ API
Go
Java infoThird party binding
Node.js infoThird party binding
Python infoThird party binding
.NET Client API
Java 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
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Go
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Java
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-master replicationnoneMaster-slave replication with hot standby and reads on slaves info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMapReduce functions can be defined in Linqnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availableACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoAccess control on document level using the Authorization Bundlenofine grained access rights according to SQL-standard
More information provided by the system vendor
LevelDBRavenDBRDF4J infoformerly known as SesameTimescaleDB
Specific characteristicsTimescaleDB is the first open-source time-series database that combines the reliability,...
» more
Competitive advantagesTimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosIoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customersAltair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metrics1.8 million+ downloads, 7,500+ Github stars
» more
Licensing and pricing modelsApache 2 and Timescale License (TSL); Product matrix here ; information on pricing...
» more

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LevelDBRavenDBRDF4J infoformerly known as SesameTimescaleDB
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