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DBMS > Microsoft Azure Synapse Analytics vs. Quasardb vs. Riak KV vs. Stardog

System Properties Comparison Microsoft Azure Synapse Analytics vs. Quasardb vs. Riak KV vs. Stardog

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak KV  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerDistributed, high-performance timeseries databaseDistributed, fault tolerant key-value storeEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websiteazure.microsoft.com/­services/­synapse-analyticsquasar.aiwww.stardog.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsdoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.stardog.com
DeveloperMicrosoftquasardbOpenSource, formerly Basho TechnologiesStardog-Union
Initial release2016200920092010
Current release3.14.1, January 20243.2.0, December 20227.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache version 2, commercial enterprise editioncommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++ErlangJava
Server operating systemshostedBSD
Linux
OS X
Windows
Linux
OS X
Linux
macOS
Windows
Data schemeyesschema-freeschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyes infointeger and binarynoyes
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.nononono infoImport/export of XML data possible
Secondary indexesyesyes infowith tagsrestrictedyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyesSQL-like query languagenoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP APIHTTP API
Native Erlang Interface
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC#
Java
PHP
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresTransact SQLnoErlanguser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyes infopre-commit hooks and post-commit hooksyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoconsistent hashingSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with selectable replication factorselectable replication factorMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono infolinks between data sets can be storedyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyes
User concepts infoAccess controlyesCryptographically strong user authentication and audit trailyes, using Riak SecurityAccess rights for users and roles

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuasardbRiak KVStardog
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