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DBMS > LevelDB vs. MarkLogic vs. Microsoft Azure Synapse Analytics vs. RDF4J vs. Sequoiadb

System Properties Comparison LevelDB vs. MarkLogic vs. Microsoft Azure Synapse Analytics vs. RDF4J vs. Sequoiadb

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOperational and transactional Enterprise NoSQL databaseElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.NewSQL database with distributed OLTP and SQL
Primary database modelKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRDF storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#19  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitegithub.com/­google/­leveldbwww.marklogic.comazure.microsoft.com/­services/­synapse-analyticsrdf4j.orgwww.sequoiadb.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.marklogic.comdocs.microsoft.com/­azure/­synapse-analyticsrdf4j.org/­documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperGoogleMarkLogic Corp.MicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sequoiadb Ltd.
Initial release20112001201620042013
Current release1.23, February 202111.0, December 2022
License infoCommercial or Open SourceOpen Source infoBSDcommercial inforestricted free version is availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++JavaC++
Server operating systemsIllumos
Linux
OS X
Windows
Linux
OS X
Windows
hostedLinux
OS X
Unix
Windows
Linux
Data schemeschema-freeschema-free infoSchema can be enforcedyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes infooid, date, timestamp, binary, regex
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.noyesnono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyes infoSQL92yesnoSQL-like query language
APIs and other access methodsJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
proprietary protocol using JSON
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
PHP
Java
PHP
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptTransact SQLyesJavaScript
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, horizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionACIDACID infoIsolation support depends on the API usedDocument is locked during a transaction
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.yes, with Range Indexesno
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsyesnosimple password-based access control

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More resources
LevelDBMarkLogicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRDF4J infoformerly known as SesameSequoiadb
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