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DBMS > Microsoft Azure Synapse Analytics vs. NSDb vs. RDFox vs. WakandaDB

System Properties Comparison Microsoft Azure Synapse Analytics vs. NSDb vs. RDFox vs. WakandaDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonRDFox  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesHigh performance knowledge graph and semantic reasoning engineWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSTime Series DBMSGraph DBMS
RDF store
Object oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score0.24
Rank#309  Overall
#25  Graph DBMS
#14  RDF stores
Score0.09
Rank#352  Overall
#16  Object oriented DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticsnsdb.iowww.oxfordsemantic.techwakanda.github.io
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturedocs.oxfordsemantic.techwakanda.github.io/­doc
DeveloperMicrosoftOxford Semantic TechnologiesWakanda SAS
Initial release2016201720172012
Current release6.0, Septermber 20222.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, ScalaC++C++, JavaScript
Server operating systemshostedLinux
macOS
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyes
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 indexesyesall fields are automatically indexed
SQL infoSupport of SQLyesSQL-like query languagenono
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
RESTful HTTP API
SPARQL 1.1
RESTful HTTP API
Supported programming languagesC#
Java
PHP
Java
Scala
C
Java
JavaScript
Server-side scripts infoStored proceduresTransact SQLnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesreplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityno 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 dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesRoles, resources, and access typesyes

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbRDFoxWakandaDB
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