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DBMS > LevelDB vs. Microsoft Azure Table Storage vs. RavenDB vs. RDF4J vs. TDSQL for MySQL

System Properties Comparison LevelDB vs. Microsoft Azure Table Storage vs. RavenDB vs. RDF4J vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRavenDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA Wide Column Store for rapid development using massive semi-structured datasetsOpen 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 high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelKey-value storeWide column storeDocument storeRDF storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#19  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score2.92
Rank#101  Overall
#18  Document stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitegithub.com/­google/­leveldbazure.microsoft.com/­en-us/­services/­storage/­tablesravendb.netrdf4j.orgwww.tencentcloud.com/­products/­dcdb
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdravendb.net/­docsrdf4j.org/­documentationwww.tencentcloud.com/­document/­product/­1042
DeveloperGoogleMicrosoftHibernating RhinosSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Tencent
Initial release20112012201020042013
Current release1.23, February 20215.4, July 2022
License infoCommercial or Open SourceOpen Source infoBSDcommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#Java
Server operating systemsIllumos
Linux
OS X
Windows
hostedLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
hosted
Data schemeschema-freeschema-freeschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or datenoyesnoyesyes
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.nonono
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoSQL-like query language (RQL)noyes
APIs and other access methodsRESTful HTTP API.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
JDBC
ODBC
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesyesyes
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardingnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACID, Cluster-wide transaction availableACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes 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.nono
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesAuthorization levels configured per client per databasenoUsers with fine-grained authorization concept

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More resources
LevelDBMicrosoft Azure Table StorageRavenDBRDF4J infoformerly known as SesameTDSQL for MySQL
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